phd in quantum computing

Top 20 Quantum Computing Masters & Ph.D. Degree Programs in 2024

Kenna hughes-castleberry.

• June 6, 2022

Because quantum computing requires a background in research, it’s important for those entering the quantum workforce to go through one of the many rigorous quantum computing Ph.D. or master’s programs.

There are many universities around the world offering quantum computing as a graduate program. Many of them have also spawned some of the biggest names in quantum computing, allowing a bridge to form between research and industry. This is especially beneficial for students looking to transition from academia into a quantum computing job .

While the choices of quantum computing degree programs seem nearly endless, we at Quantum Insider want to offer a summarized list of what we believe are a few of the top ones to get a Ph.D. or master’s in quantum computing. This is not at all exhausting as many universities continue to advance their quantum computing programs or work with companies to help enhance opportunities for their students.

We’ve organized a list of the top 20 quantum computing master’s and Ph.D. programs to get a degree in 2024. Enjoy!

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20 Quantum Computing Degree Programs

1. mit’s lincoln laboratory.

It’s no surprise that the top quantum computing graduate programs are hosted by some of the most prestigious schools. MIT is no exception, as its Lincoln Laboratory studies integrated nano-systems and quantum information. MIT’s masters in quantum computing focus on trapped-ion qubits as well as designing integrated quantum circuits. The laboratory offers several different projects to work on, all with real-world applications.

2. University of California Berkeley

UC Berkeley is one of the many universities in California looking into quantum computing , mimicking the hub of activity by quantum companies in that area. The Berkeley Lab works on harnessing quantum computing to help solve real-world issues. With research topics ranging from quantum materials to even training the quantum workforce, UC Berkeley’s quantum computing masters program offers a multi-disciplinary approach.

3. University of Chicago

The University of Chicago is one of the top quantum computing universities as it is home to the Chicago Quantum Exchange (CQE). The CQE connects other universities in the Midwest, as well as companies and other organizations to discuss developments in quantum technology. Because of the CQE, their quantum computing graduate students get exclusive networking opportunities and the ability to work on cutting-edge research.

4. University of Maryland’s Joint Quantum Institute (JQI)

The University of Maryland’s JQI offers a unique experience for students, as it includes quantum scientists from the National Institute of Standards and Technology (NIST), the University of Maryland, and the Laboratory for Physical Sciences (LPS). With this diversity in researchers, students have a wide range of quantum degree programs to choose from, including theoretical and experimental quantum physics.

5. University of Southern California’s Center for Quantum Information Science and Technology (CQIST)

Like UC Berkeley, USC’S CQIST focuses on quantum information science. However, its main focuses are on quantum computing, quantum cryptography, and quantum information theory. To research these subjects in their master’s and Ph.D. programs, CQIST brings in experts from both the school of Arts and Sciences and Engineering, giving all students an interdisciplinary focus on quantum computing technology.

6. California Institute of Technology (Caltech)

Studying quantum computing at Caltech, students become part of the university’s Institute for Quantum Information and Matter ( IQIM ). This institute is a National Science Foundation Physics Frontier Center , one of many government centers that encourage global collaboration and offer unique opportunities to quantum computing masters and Ph.D. students. These centers also work to give extra activities to enhance student education.

7. Stanford University

Stanford University has multiple researchers studying quantum computing, including the Q-Farm , an acronym standing for Quantum Fundamentals, Architectures, and Machine learning initiative. Q-Farm collaborates with Stanford’s National Acceleration Laboratory ( SLAC ) to develop answers to some of the biggest challenges for quantum computing.

8. Harvard University

Harvard University hosts the Harvard Quantum Initiative , which recently released a new quantum computing Ph.D. program in quantum science and engineering. The Harvard Quantum Initiative has a bustling hub of researchers focusing on properly training the next quantum workforce, while also working with industry partners to advance this technology. They offer a prize for Ph.D. researchers in quantum engineering as well as several summer research programs.

9. Carnegie Mellon University

The Pittsburgh Quantum Institute ( PQI ) at Carnegie Mellon University hosts over 100 members and workers to create a multidisciplinary quantum computing graduate program that involves engineering, business, philosophy of science, and other fields. PQI offers many opportunities to its quantum engineering students, including travel awards, poster sessions, public lectures, and outreach activities. The PQI also works closely with other centers, like the Pittsburgh Supercomputing Center, to work on this next-generation quantum technology.

10. University of Colorado Boulder

Within the University of Colorado Boulder lies JILA , a leading quantum physics degree institute created by a partnership between the University and NIST. JILA hosts its own NSF Physics Frontier Center, as well as several other centers focused on quantum computing and laser systems. Several of the scientists within JILA work closely with quantum computing companies, allowing their master’s and Ph.D. students better networking opportunities within Colorado, a growing hub of quantum activity.

11. The University of Waterloo

Canada’s University of Waterloo is one of the best well-known universities for quantum computing due to its Institute for Quantum Computing . With over 29 faculty members and 300 researchers, their quantum computing Ph.D. program works to train the next generation of the quantum workforce through global collaborations involving other universities, organizations, and quantum companies.

12. The University of Bristol

Both the Bristol Quantum Information Institute and its Quantum Engineering Technology labs help make the university one of the top places to get a Ph.D. or master’s in quantum computing. The Quantum Engineering Technology Labs develop prototypes for quantum applications, from computing to sensing to simulations. With a group of mentors and advisors, students of this quantum computing degree program will learn more about the career paths within this field and be assisted in their journey.

13. The University of Cambridge

The University of Cambridge has bolstered its reputation in quantum computing due to the company spin-offs from the university. Within the university are many research groups that study quantum devices and nano-systems. Because of its reputation, the University of Cambridge brings opportunities for network connections within the UK’s quantum hub.

14. Oxford University

Perhaps the largest center for quantum research in the UK, Oxford University ‘s quantum computing graduate program hosts 38 different research teams and over 200 researchers. As their focus is to harness the power of quantum computing, students get hands-on experience developing next-level quantum technology, while being in the center of the UK’s quantum network.

15. Ecole Polytechnique

The Institut Polytechnique de Paris is one of France’s most prestigious universities, as it hosts the Center for Theoretical Physics ( CPHT ). Their quantum physics degree programs offer students a wide range of physics topics, from condensed matter to particle physics.

16. Delft University of Technology

Located in the Netherlands, Delft University’s Department of Quantum and Computer Engineering ( QCE ) combines computer science with quantum computing. In their quantum engineering degree program, students research quantum architecture and circuitry, combining it with computer design.

17. Austrian Academy of Sciences

The Institute for Quantum Optics and Quantum Information ( IQOQI ) lies within the Austrian Academy of Sciences. Their quantum computing degree programs range from quantum optics to superconducting quantum circuits to quantum nanophysics. With a large staff of researchers and scientists, this quantum computing university sits right in the middle of the quantum hub in Europe.

18. University of Science and Technology of China (USTC)

The USTC’s Division of Quantum Physics and Quantum Information is a world leader in quantum computing research. Scientists and students at this center focus on fiber-based quantum communication, free-space quantum communication, quantum memory, superconducting quantum computing, quantum simulation, and many other fields. With an electronics shop and over 37 faculty members, the USTC will no doubt continue to be one of the leading quantum computing degree programs.

19. The National University of Singapore (NUS)

The NUS’s Center for Quantum Technologies ( CQT ) focuses on bringing quantum computing students and scientists from around the world together to develop quantum devices. The CQT focuses on quantum research and education as well as quantum technology. Every year, the CQT runs a short-film competition about quantum technology called Quantum Shorts .

20. The University of Sydney

The University of Sydney is a growing location for quantum computing research, partially due to Australia’s first quantum computing conference last year. Research at the University of Sydney ranges from theoretical to experimental, offering a wide range of quantum computing masters and Ph.D. programs for graduate students. The University also works with many different organizations, including the Sydney Quantum Academy.

If you found this article to be informative, make sure to explore more of the current quantum technology news  here . If you would like to explore enterprise end users of quantum in more detail, you should check out our dedicated  market intelligence platform .

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Princeton Quantum Initiative

Quantum Science and Engineering PhD Program

PQI launched a new PhD program in Quantum Science and Engineering, with the first cohort starting in fall 2024.

Find full information about the program structure and requirements  from Princeton Graduate School. The application for the program can be found through the Graduate School portal .

The PhD program in Quantum Science and Engineering provides graduate training in a new discipline at the intersection of quantum physics and information theory. Just as the 20th century witnessed a technological and scientific revolution ushered in by our newfound understanding of quantum mechanics, the 21st century now offers the promise of a new class of technologies and lines of scientific inquiry that take full advantage of the more fragile and intricate consequences of quantum mechanics: coherent superposition, projective measurement, and entanglement. This field has broad implications ranging from many-body physics and the creation of new forms of matter to our understanding of the emergence of the classical world and our basic understanding of space and time.  It enables fundamentally new technological applications, including new types of computers that can solve currently intractable problems, communication channels whose security is guaranteed by the laws of physics, and sensors that offer unprecedented sensitivity and spatial resolution.

The Princeton Quantum Science and Engineering community is unique in its interdisciplinary breadth combined with foundational research in quantum information and quantum matter. Research at Princeton comprises every layer of the quantum technology stack, bringing together many body physics, materials, devices, new quantum hardware platforms, quantum information theory, metrology, algorithms, complexity theory, and computer architecture. This vibrant environment allows for rapid progress at the frontiers of quantum science and technology, with cross pollination among quantum platforms and approaches. The research community strongly values interdisciplinarity, collaboration, depth, and fostering a close-knit community that enables fundamental and impactful advances.

Our curriculum places students in an excellent position to build new quantum systems, discover new technological innovations, become leaders in the emergent quantum industry, and make deep, lasting contributions to quantum information science. The QSE graduate program aims to provide a strong foundation of fundamentals through a three-course core, as well as opportunities to explore the frontiers of current research through electives. First year students are also required to take a seminar course that is associated with the Princeton Quantum Colloquium, in which they closely read the associated literature and discuss the papers. Our curriculum has a unique emphasis on learning how to read and understand current literature over a large range of topics. The curriculum is complemented by many opportunities at PQI for scientific interaction and professional development. A major goal of the program is to help form a tight-knit graduate student cohort that spans disciplines and research topics, united by a common language. 

Most students enter the program with an undergraduate degree in physics, electrical engineering, computer science, chemistry, materials science, or a related discipline. When you apply, you should indicate what broad research areas you are interested in: Quantum Systems Experiment, Quantum Systems Theory, Quantum Materials Science, or Quantum Computer Science.

Graduate School

Quantum Science and Engineering

General information, program offerings:, affiliated departments:, director of graduate studies:, graduate program administrator:.

The program in Quantum Science and Engineering provides graduate training in a new discipline at the intersection of quantum physics and information theory. Just as the 20th century witnessed a technological and scientific revolution ushered in by our newfound understanding of quantum mechanics, the 21st century now offers the promise of a new class of technologies and lines of inquiry that take full advantage of the more fragile and intricate consequences of quantum mechanics: coherent superposition, projective measurement, and entanglement. This field has broad implications, from many body physics, the creation of new forms of matter, and our understanding of the emergence of the classical world, to fundamentally new technological applications ranging from new types of computers that can solve currently intractable problems, communication channels whose security is guaranteed by the laws of physics, and sensors that offer unprecedented sensitivity and spatial resolution.

The Princeton Quantum Science and Engineering community is unique in its interdisciplinary breadth combined with foundational research in quantum information and quantum matter. Research at Princeton comprises every layer of the quantum technology stack, in fields ranging from quantum many body physics, materials, devices, and devising new quantum hardware platforms to quantum information theory, quantum metrology, quantum algorithms and complexity theory, and quantum computer architecture. This vibrant environment allows for rapid progress at the frontiers of quantum science and technology, with cross pollination among quantum platforms and approaches. Our curriculum places students in an excellent position to build new quantum systems, discover new technological innovations, become leaders in the emergent quantum industry, and make deep, lasting contributions to quantum information science.

Additional departmental requirements

Applicants are required to select an area of research interest when applying.

Program Offerings

Program offering: ph.d., program description.

The doctoral program combines coursework and participation in original research. Most students enter the program with an undergraduate degree in physics, electrical engineering, computer science, chemistry, materials science, or a related discipline. Every admitted Ph.D. student is given financial support in the form of a first-year fellowship. Students in academic good standing are supported by a teaching assistant or research assistant after the first year. Students who remain on campus working with their adviser during the summer will receive summer salary.

The curriculum consists of five required, graded courses to be completed by the end of the second year with an average GPA of 3.3, including: - Three core courses: Quantum Mechanics (PHY 506, ECE 511, CHM 501/502), Quantum Information (ECE 569), Implementations of Quantum Science (ECE 568) - Two quantum science courses: Experimental Methods in Quantum Computing (ECE 457), Solid State Physics (ECE 441), Condensed Matter Physics (PHY 525/526), Atomic Physics (PHY 551), Quantum optics (ECE 456), Fundamentals of Nanophotonics (ECE 560), Solid State Chemistry (CHM 529), Electronic Structure of Solids (CHM 524), Quantum Optoelectronics (ECE 453), Quantum Materials Spectroscopy (ECE 547), Solid State Physics II (ECE 542), Physics and Technology of Low-dimensional Electronic Structures (ECE544), Fundamentals of Quantum Materials and Their Applications (MSE 518/CHM 518)

Additional pre-generals requirements

Each incoming student is assigned an academic adviser to help with course selection and other educational issues. First year students are required to enroll in a fall seminar class (ungraded) in which QSE faculty present their research. By the end of the first year, each student must secure placement with a research advisor.

First year students are also required to enroll in a seminar course for both semesters (QSE 501), in which they attend the weekly Quantum Colloquium series (which meets on Mondays), read relevant papers, and then discuss the papers and colloquium later in the week. Colloquium attendance will be mandatory and verified by a sign-in sheet. The course will be graded on a P/NP basis, and students will be evaluated based on their attendance and participation in discussion. The instructor running the course for the semester assigns a few papers that are relevant to that week’s colloquium, together with a reading guide that comprises a few questions about each paper. The students are responsible for reading the papers carefully, understanding them in the context of that week’s colloquium, and participating actively in the class discussion.  Students must also complete a course in Responsible Conduct of Research by the end of their second year.

General exam

Students must successfully complete their general exam by the end of their second year. The general exam consists of a research seminar and an oral exam, with a committee of three faculty (including the research advisor). The seminar is typically a 45 minute presentation of research accomplished at Princeton, with questions from the committee about the research. The oral exam is administered by the committee, and is intended to probe the student’s engagement with independent research, as well as their general knowledge in the field.

Qualifying for the M.A.

The Master of Arts can be earned by Ph.D. students en route to their Ph.D., after the student has: (a) completed the required coursework, (b) presented a research seminar approved by the student’s general examination committee, and (c) passed the oral general examination. It may also be awarded to students who, for various reasons, leave the Ph.D. program, provided that these requirements have been met.

Teaching experience is considered to be a significant part of a graduate education. Prior to completion of the program, doctoral students must complete at least one semester as a half-assistant instructor (AI), 3 hours per week. To be an AI, a student must first demonstrate proficiency in English by passing or being exempted from the Princeton Oral Proficiency Test (POPT). Students are encouraged to satisfy the POPT requirement as early as possible.

Dissertation and FPO

The final public oral examination is taken after the candidate’s dissertation has been examined for technical mastery by a committee of three faculty including the research advisor and approved by the Graduate School; it is primarily a defense of the dissertation. The Ph.D. is awarded after the candidate’s doctoral dissertation has been accepted and the final public oral examination sustained.

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Doctor of Philosophy (PhD) in Quantum Computing

• Request Information

Earn a doctorate degree in Quantum Computing, help lead innovation in a growing industry

The PhD in Quantum Computing is a unique doctoral program designed to meet the immediate industry need for innovative researchers and practitioners. Professionals will graduate with the skills necessary to become key leaders in the advancement, expansion, and support of the this rapidly growing industry. 

Students in this program will conduct extensive and sustained original research on the applications of Quantum Computing, which harnesses and exploits the laws of quantum mechanics to process a vast number of calculations simultaneously. Faculty of this program are industry experts devoted to providing students deep proficiency in this area using an interdisciplinary methodology, cutting-edge courses, and dynamic faculty skill sets.

Graduates with the Ph.D. in Quantum Computing can expect to fill executive and senior-level positions in commercial companies as well as local, state, and federal government with a variety of titles such as:

• Quantum Senior Scientist
• Quantum Senior Software Engineer
• Chief, Quantum Computing Solutions
• Vice President, Quantum Solutions
• Senior Director, Quantum Computing
• Senior Quantum Solutions Architect
• Senior Quantum Systems Engineer
• Director, Federal Quantum Research
• Chief, State Quantum Solutions
• Senior State Quantum Applications Engineer
• Senior Director, Financial Quantum Computing

Graduates will also possess the required knowledge in Quantum Computing to serve as a subject matter expert and form their own private company.

Why Capitol?

Learn around your busy schedule

Program is 100% online, with no on-campus classes or residencies required, allowing you the flexibility needed to balance your studies and career.

Proven academic excellence

Study at a university that specializes in industry-focused education in technology fields, with a faculty that includes many industrial and academic experts.

Expert guidance in doctoral research

Capitol’s doctoral programs are supervised by faculty with extensive experience in chairing doctoral dissertations and mentoring students as they launch their academic careers. You’ll receive the guidance you need to successfully complete your doctoral research project and build credentials in the field. 

Key Faculty

Vice President

Dissertation Chair

Degree Details

This program may be completed with a minimum of 60 credit hours, but may require additional credit hours, depending on the time required to complete the dissertation/publication research. Students who are not prepared to defend after completion of the 60 credits will be required to enroll in RSC-899, a one-credit, eight-week continuation course. Students are required to be continuously enrolled/registered in the RSC-899 course until they successfully complete their dissertation defense/exegesis.

The student will produce, present, and defend a doctoral dissertation after receiving the required approvals from the student’s Committee and the PhD Review Boards.

Prior Achieved Credits May Be Accepted

Educational Objectives:

• Students will integrate and synthesize alternate, divergent, or contradictory perspectives or ideas fully within the field of Quantum Computing.
• Students will demonstrate advanced knowledge and competencies in Quantum Computing.
• Students will analyze existing theories to draw data-supported conclusions in Quantum Computing.
• Students will analyze theories, tools, and frameworks used in Quantum Computing.
• Students will execute a plan to complete a significant piece of scholarly work in Quantum Computing.
• Students will evaluate the legal, social, economic, environmental, and ethical impact of actions within Quantum Computing and demonstrate advanced skill in integrating the results in to the leadership decision-making process.

Learning Outcomes:

Upon graduation:

• Graduates will integrate the theoretical basis and practical applications of Quantum Computing in to their professional work.
• Graduates will demonstrate the highest mastery of Quantum Computing.
• Graduates will evaluate complex problems, synthesize divergent/alternative/contradictory perspectives and ideas fully, and develop advanced solutions to Quantum Computing challenges.
• Graduates will contribute to the body of knowledge in the study of Quantum Computing.

Tuition & Fees

Tuition rates are subject to change.

The following rates are in effect for the 2024-2025 academic year, beginning in Fall 2024 and continuing through Summer 2025:

• The application fee is $100
• The per-credit charge for doctorate courses is $950. This is the same for in-state and out-of-state students.
• Retired military receive a $50 per credit hour tuition discount
• Active duty military receive a $100 per credit hour tuition discount for doctorate level coursework.
• Information technology fee $40 per credit hour.
• High School and Community College full-time faculty and full-time staff receive a 20% discount on tuition for doctoral programs.

Find additional information for 2024-2025 doctorate tuition and fees.

I was able to receive credit for previous work in a PhD in Biomedical Informatics. Capitol Tech enables me to rapidly dive in, complete my research, and degree and bring my skills to the job market quickly in an embryonic but emerging field.

-Forrest Pascal PhD in Quantum Computing

Need more info, or ready to apply?

We have 48 quantum computing PhD Projects, Programmes & Scholarships

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quantum computing PhD Projects, Programmes & Scholarships

Quantum computing platform with atomic qubits, phd research project.

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

Competition Funded PhD Project (Students Worldwide)

This project is in competition for funding with other projects. Usually the project which receives the best applicant will be successful. Unsuccessful projects may still go ahead as self-funded opportunities. Applications for the project are welcome from all suitably qualified candidates, but potential funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

Simulation-based Quantum Machine Learning for Advancing AI

Self-funded phd students only.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

PhD position in Time-bin ion-photon entanglement for scalable quantum computing

Funded phd project (uk students only).

This research project has funding attached. It is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

AI-Driven Hybrid Security Framework Utilizing Classical and Post-Quantum Cryptography

Innovating iot security through quantum metamaterials and artificial intelligence, rare-earth based photonic devices for quantum information processing, post-quantum cryptographic systems for securing communication in iot systems., investigating quantum machine learning for cyber security, chip-based photonic devices for quantum technology, achieving robust quantum control through deep reinforcement learning [self-funded students only], phd projects in computer science (sponsored/self-funded).

The PhD opportunities on this programme do not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

Computing PhD Programme

PhD Research Programmes describe the opportunities for postgraduate research within a University department. You may often be asked to submit your own research project proposal as part of your application, although predefined research projects may also be available.

Manufacture of atom and ion traps via ultra-precision diamond machining

Parametric photonics for quantum technologies, fundamental aspects of superconducting qubits and related quantum devices, realising engines in the quantum regime with single atoms, competition funded phd project (uk students only).

This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. The funding is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

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Quantum at the University of Chicago

Quantum science and engineering.

The University of Chicago has assembled a world-class group of scientists and engineers who are leading the quantum revolution. In addition to our cutting-edge faculty in physics, engineering, and chemistry, we offer one of the nation's first doctoral programs in quantum science and engineering.

• 20+ lab groups at PME and UChicago engaged in quantum research
• Chicago region named an official U.S. Regional and Innovation Technology Hub for quantum technologies
• Close partnerships with National QIS Research Centers at Argonne and Fermilab

Learn about our many exciting programs and centers

Noah Glachman

Bernien Lab

“Quantum computing has the potential to solve some of the world's biggest problems. I'm proud to be a part of a team here making that happen.”

Anchita Addhya

“PME brings these diverse fields together and has this very collaborative environment that I really appreciate.”

José A. Méndez

Awschalom Lab (co-advised by Hannes Bernien)

“Study something that you find interesting and I guarantee we can use you here.”

We are training students to become the next generation of leaders in science, engineering, and beyond. ” Dean Nadya Mason

Why Engineering at the University of Chicago?

• 100% of PhD students start research in their first year
• PME’s leading faculty experts unite eight scientific and engineering disciplines through an innovative interdisciplinary curriculum
• Students work with 40+ internationally recognized faculty members and 20+ researchers from Argonne National Laboratory
• More than 200 PME graduates have entered roles as data scientists, engineers, and research consultants, or continued their research at academic institutions.

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Best Doctorates in Quantum Computing: Top PhD Programs, Career Paths, and Salaries

After earning a master’s degree, most graduates set their sights on a doctoral degree or PhD. A PhD is the highest level of education, and earning this esteemed degree will skyrocket your employability potential, industry credibility, and salary range. In this article, we share the best PhDs in Quantum Computing and the expected PhD in Quantum Computing salary.

Besides being highly paid, this field of study offers many exciting opportunities to work with pioneering theory in quantum information technology. PhD in Quantum Computing students will participate in ground-breaking research and upon graduation will be eligible for the best quantum computing jobs in the tech industry.

Find your bootcamp match

What is a phd in quantum computing.

A PhD in Quantum Computing is the highest level of education for professionals in quantum technology. The degree takes four to six years to complete and covers different quantum computing theories, including quantum simulation, quantum sensing, quantum communication, and quantum information theory. The PhD degree facilitates advanced research and facilitates innovative discoveries.

How to Get Into a Quantum Computing PhD Program: Admission Requirements

The core requirements to get into a quantum computing PhD program are a master’s degree in computer science, math, physics, or a related field, a resume highlighting your work experience, letters of recommendation, and a GRE or GMAT score. Additional admission requirements include application fees, English proficiency test scores, transcripts, a statement of purpose, essays, and a high GPA.

Generally, these are the minimum PhD admission requirements, but the prerequisites can differ from school to school. You will find a detailed list of requirements on the selected school’s website.

PhD in Quantum Computing Admission Requirements

• Application form and fee
• Master’s degree in Physics, Computer Science, or a related field
• GRE, GMAT, and English proficiency test scores
• Two or three letters of recommendation
• Statement of purpose
• Transcripts

Quantum Computing PhD Acceptance Rates: How Hard Is It to Get Into a PhD Program in Quantum Computing?

It is extremely hard to get into a PhD program in quantum computing. Quantum computing is difficult to learn, and a PhD demands a lot of attention to detail, research, and one-on-one interactions between students and professors. That means that universities maintain small class sizes to ensure student success.

The Council of Graduate Schools survey indicates that the overall PhD acceptance rate is 22.3 percent . Public universities accept approximately 26.4 percent of applicants, while private universities accept 16.3 percent of applicants. These numbers will vary by school. For example, the University of South Carolina admits 10-15 percent of its PhD applicants , and Harvard University admits approximately seven percent of the doctoral degree applicants.

How to Get Into the Best Universities

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Best PhDs in Quantum Computing: In Brief

Best Universities for Quantum Computing PhDs: Where to Get a PhD in Quantum Computing

The best PhD quantum computing programs offer quality instruction in advanced quantum computing topics, research work, and unique assistantship opportunities. Some institutions also offer the flexibility of online learning.  Keep reading for an overview of the best quantum computing PhD programs, including admission requirements and funding opportunities.

California Institute of Technology , also known as Caltech, is a private institution known for its research in science and engineering. The university was founded in 1891 and offers a wide range of graduate options, including astrophysics, medical engineering, neurobiology, chemistry, applied mechanics, and computing and mathematical sciences.

Caltech is currently involved in several research initiatives where students can contribute through assistantships or coursework.

PhD in Computing and Mathematical Sciences

A PhD in Computing and Mathematical Sciences accommodates students with a background in applied math, economics, electrical engineering, physical sciences, and computer science. You will delve into a wide range of topics such as algorithms, machine learning, signal processing, statistics, data interpretation, and laws of quantum mechanics.

You will participate in quantum and information computation research , where you will learn from world-class faculty and contribute to ongoing research. Additionally, you will select a research advisor who will guide you through the ins and outs of your dissertation.

PhD in Computing and Mathematical Sciences Overview

• Program Length: Six years
• Acceptance Rate: 7%
• Tuition and Fees: $58,467/year
• PhD Funding Opportunities: Assistantships, external fellowship, institute fellowship, parent support program, and federal, institute, and short-term emergency loans

PhD in Computing and Mathematical Sciences Admission Requirements

• A bachelor’s degree or equivalent
• Official and unofficial transcripts
• Three letters of recommendation
• A statement of purpose
• An updated resume
• English proficiency test scores
• $100 application fee or fee waiver form

Capitol Technology University was founded in 1927 and is a premier institution for STEM programs. The graduate school is known for its programs in information technology, business, computer science, and engineering. Capital Tech offers twenty-nine graduate programs, which are all online.

PhD in Quantum Computing

The PhD in Quantum Computing prepares you for many careers. Upon graduation, you can work as a quantum computing director, senior quantum systems engineer, or director of financial quantum computing. The quantum computing industry is growing rapidly, and Capitol aims to equip PhD students with the vital skills that meet industry needs. 

The curriculum features six-credit coursework that takes you from the foundational stages of a dissertation thesis to completion. Students can select between a thesis and publication option to meet graduation requirements. Capitol Tech PhD graduates demonstrate mastery in quantum computing, theoretical basis, and practical applications, as well as proficiency in research.

PhD in Quantum Computing Overview

• Program Length: Two to four years
• Acceptance Rate: N/A
• Tuition and Fees: $933/credit
• PhD Funding Opportunities: Tuition discounts, loans, assistantships, veteran benefits, scholarships
• Master’s in relevant field
• Resume demonstrating at least five years of work experience
• Two recommendation forms
• 1000 to 2000-word essay
• $100 application fee

Founded in 1636, Harvard University is one of the best private Ivy League universities worldwide. The university is known for its commitment to research, high-quality education, and a strong academic community. Harvard's graduate school offers over 50 graduate programs and guarantees five years of funding for all PhD students.

PhD in Quantum Science and Engineering

You will complete this PhD under the Harvard Quantum Initiative , a program only available for PhD students. The degree prepares you for diverse research careers that require knowledge of quantum mechanics methods. 

You will cover quantum simulation, sensing, and computation. PhD students begin research work in their first year through lab rotations and engage in extensive mentoring programs. Communication training is also a part of the program.

PhD in Quantum Science and Engineering Overview

• Program Length: Five years
• Tuition and Fees: $52,456/year for the first two years of study                  
• PhD Funding Opportunities: Fellowships, grants, research assistantships, traineeships, stipends, federal student aid, loans, veteran benefits

PhD in Quantum Science and Engineering Admission Requirements

• Bachelor’s degree in Physics, Mathematics, Chemistry, Computer Science, or a related field
• $105 application fee

Massachusetts Institute of Technology is a private land-grant university founded in 1861. The university is known for its research contributions across various industries. It prioritizes education, research, and innovation. MIT's department of physics contributes to innovation by offering doctoral programs in statistics, data science, and physics.

PhD in Physics, Statistics, and Data Science

At the MIT Physics Department, PhD students will learn probability theory, modeling with machine learning, natural language programming, statistical physics, and linear algebra. As an MIT PhD student, you will acquire essential research skills in probability, statistics, computation, and data analysis, and integrate these into your dissertation thesis. You can choose from a wide selection of research areas and specialize in quantum information science.

PhD in Physics, Statistics, and Data Science Overview

• Program Length: 3-7 years, 5.6 years on average
• Acceptance Rate: 9%
• Tuition and Fees: $27,755/term        
• PhD Funding Opportunities: Fellowships, research assistantships, teaching assistantships

PhD in Physics, Statistics, Data Science Admission Requirement

• $75 application fee
• Unofficial transcripts
• 3-6 letters of recommendation
• Statement of objectives

Purdue University is a  public university founded in 1869 by the Indiana General Assembly. It was named after John Purdue, who contributed over $100,000 to the school’s establishment. Purdue has undergone many upgrades to become one of the leading research institutions worldwide.

Purdue upholds student-centered traditions and prides itself on a solid alumni network comprising former undergraduate and graduate students. Purdue’s graduate school offers over 160 programs. Graduate students have the opportunity to develop innovative projects in different areas, including business, technology, health care, and food consumption.

PhD in Physics                     

Purdue University’s Department of Physics and Astronomy maintains a commitment to producing highly-qualified scientists who thrive in the professional sector. Students will explore different courses and receive mentorship from over 50 faculty members, including members of the National Academy of Sciences.

The program offers many research areas, but you can specialize in quantum information science. This area of study allows you to conduct research in information theory, optical physics, and condensed matter systems. It also qualifies you as a member of the Purdue Quantum Science and Engineering Institute Research Group, where you will contribute to ongoing research at the university.

PhD in Physics Overview

• Program Length: Three to four years
• Acceptance Rate: 30%
• Tuition and Fees: $347.85/ credit (in state), $948.30/ credit (out of state)      
• PhD Funding Opportunities: Assistantships, fellowships, grants, loans, scholarships

PhD in Physics Admission Requirements

• Master’s degree in relevant field
• $60 application fee
• GRE scores (optional)
• Official transcripts

UC Berkeley is a renowned public research university located in sunny California. The university was founded in 1868 and is known for its high academic standards, unique undergraduate programs, and extensive academic offerings. 

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Graduate students at UC Berkeley can select from over 100 graduate degrees and various exchange programs. As a student, you will participate in innovative research while interacting with a diverse student community.

PhD in Physics

The physics department at UC Berkeley has designed this PhD program to provide students with a holistic learning experience. Once you demonstrate your competence to pursue the program, you will begin extensive coursework in quantum mechanics. 

The faculty mentors will advise you on the best quantum research programs before your preliminary exam. Once you pass the exam, you will start your research and submit progress reports until the last stage. Students complete the candidacy and defend their dissertation before a dignified thesis committee.

• Tuition and Fees: $5,721/semester
• PhD Funding Opportunities: Fellowships, federal student loans, scholarships
• Bachelor’s degree in relevant field
• $120 application fee
• 3.0 GPA scores
• Physics GRE test scores (optional)

The University of Chicago is among the leading research universities worldwide. It was founded in 1890 and is known for its state-of-the-art resources, numerous affiliations to innovators and award winners, and an exciting graduate life. Graduate students have access to many doctoral programs in the professional schools, including the Pritzker School of Molecular Engineering.

The Pritzker School of Molecular Engineering offers this degree to successful PhD applicants. This degree lets you interact with industry experts in quantum science. You will learn about fundamental and applied quantum science, explore courses that shape your future within the quantum computing industry, and receive valuable thesis advice from outstanding advisors.

To graduate, you must complete nine core, specialized, and elective courses. Additionally, you will complete the teaching assistantship at the university after approval from the Vice Dean for Education and Outreach and the Dean of Students. You can also apply for work at several quantum research firms like the Chicago Quantum Exchange.

• Tuition and Fees: $19,204/quarter   
• PhD Funding Opportunities: Fellowships, teaching assistantships, research assistantships
• Bachelor’s Degree in a STEM field
• $90 application fee

University of Maryland is a world-renowned public research university founded in 1856. The land-grant institution offers over 230 graduate programs and confers at least 2,800 degrees every year. UMD is known for its extensive research in various fields, including quantum computing, artificial intelligence and robotics, cybersecurity, and computational biology.

PhD in Computer Science

The program targets those looking to expand their knowledge in areas of computer science through research. You must understand computer science fundamentals and demonstrate your ability to engage in extensive research work. Selecting the quantum computing area of study allows you to delve into quantum mechanics for computational complexity, data transmission, information processing, and cryptographic security.

You will work with a world-class faculty to uncover innovations in quantum computers and how quantum computing principles apply to classical computers. The associated faculty currently investigates different topics, including programming languages, quantum algorithms, and hardware architectures. You can also apply for assistantships at the university’s new Quantum Startup Foundry.

PhD in Computer Science Overview

• Program Length: Four years
• Acceptance Rate: 22.8%
• Tuition and Fees: $768/credit (in state), $1,706/credit (out of state)
• PhD Funding Opportunities: Assistantship, fellowship, grants

PhD in Computer Science Admission Requirements

• GRE (optional)
• 3.5 GPA (recommended)

If you are interested in pursuing your quantum computing doctoral abroad, you should apply to the University of Oxford. The University of Oxford is a leading academic institution known for contributing to research and its rigorous academic programs. The university prides itself on years of solid history as one of the oldest universities worldwide, dating back to 1096.   

The university offers a wide range of degree programs, including over 300 graduate courses. PhD students also access many research resources, including dedicated research groups like Quantum Group .

Quantum computing research at the University of Oxford leans into the university’s rich history, combining prior computing milestones with current quantum computing principles. You will pursue a PhD in Computer Science, where you’ll pursue cutting-edge research as part of the Quantum Group, and specialize in quantum science. 

• Acceptance Rate: 18.5%
• Tuition and Fees: $10,766/ year (citizens), $35,670/year (international students)
• PhD Funding Opportunities: Loans, studentships, scholarships, teaching assistantships
• First-class or high second-class bachelor’s degree with honors and a master’s degree in a relevant field
• Detailed resume
• Letters of recommendation
• $93.70 application fee

The University of Waterloo began operations in 1957 and has transformed into a premier public research university. It is a large university, sitting on over 1,000 acres and with an undergraduate enrollment of 36,020 students. Students can select doctoral programs from a list of over 190 graduate programs, including actuarial science, civil engineering, computer science, and nanotechnology.

PhD in Computer Science (Quantum Information)

You will complete this doctoral degree at the Institute of Quantum Computing. Students who select the quantum information area of study explore topics such as quantum biology, nanoelectronics-based quantum information processing, optical quantum information, and quantum devices.

Upon graduation, you will have the expertise to lead and contribute to advanced quantum computing research projects.

PhD in Computer Science (Quantum Information) Overview

• Program Length: Four to five years
• Tuition and Fees: $2,254/term (citizens), $7,396/term (international students)
• PhD Funding Opportunities: Scholarships, university funding, grants, bursaries, loans, assistantships

PhD in Computer Science (Quantum Information) Admission Requirements

• Master’s in Physics with at least 75% standing
• $125 application fee
• Three reference letters
• English proficiency tests
• Letter of admission and study permit for international students

Can You Get a PhD in Quantum Computing Online?

Yes, you can get a PhD in Quantum Computing online. As technology continues to offer more flexibility, universities are adjusting their PhD learning formats, allowing students to complete these degrees at their pace and from desired locations. Below are the top five schools for an online PhD in Quantum Computing.

Best Online PhD Programs in Quantum Computing

How Long Does It Take to Get a PhD in Quantum Computing?

It takes four to seven years to get a PhD in Quantum Computing. Students must complete advanced quantum computing coursework, pass a comprehensive exam, and submit original research work demonstrating quantum computing applications. The original research, also referred to as a dissertation, plays a significant role in determining how long your PhD takes.

Is a PhD in Quantum Computing Hard?

Yes, a PhD in Quantum Computing is hard. You must develop in-depth knowledge of quantum computers and the process of designing, developing, and building fully-functional quantum machines. A PhD in Quantum Computing involves advanced coursework that includes quantum mechanics, physics, computational intelligence, and big data. These courses are very technical and challenging for any student.

You must also submit an extensive original dissertation, which involves a lot of research. Generally, the dissertation totals 70,000 to 100,000 words. You will spend months discovering new quantum computing theories, developing concepts, and defending everything you discover. In a nutshell, you must be ready and committed before pursuing a PhD in Quantum Computing.

How Much Does It Cost to Get a PhD in Quantum Computing?

It costs $8,000-$50,000 per year to get a PhD in Quantum Computing. According to a 2019 survey by the National Center for Education Statistics (NCES), PhD students in public institutions pay an average of $11,495 per year. Meanwhile, private institution tuition and fees average $23,138 per year.

It is important to note that these figures don’t represent the full cost of attendance, and you should also consider the cost of living, transportation, and supplies. You can always find the right estimate on the school’s website or through the admissions team.

How to Pay for a PhD in Quantum Computing: PhD Funding Options

The PhD funding options that students can use to pay for a PhD in Quantum Computing include federal grad student loans, scholarships and grants, fellowships, assistantships, and self-funding.

Funding for quantum computing grad students comes from different sources, including universities, charities, government bodies, and quantum computing research institutions. You can find reliable funding options by talking to your peers, building your portfolio, saving up, or pursuing funded PhD programs in Quantum Computing.

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What Is the Difference Between a Quantum Computing Master’s Degree and PhD?

The differences between a quantum computing master’s degree and PhD are the time frame, coursework, funding, and career opportunities. Generally, students complete a Master’s in Quantum Computing before pursuing a PhD, but it is not mandatory for all academic institutions. A PhD takes approximately four to seven years, whereas you can complete your master’s in two years.

The PhD curriculum is very advanced compared to the master’s degree . You must submit a dissertation of your original research work and complete a comprehensive exam before earning your PhD. A PhD in Quantum Computing is also more expensive, but you have access to more funding avenues, including fellowships and assistantships.

Master’s vs. PhD in Quantum Computing Job Outlook

The job outlook for quantum computing professionals with a master’s degree is slightly higher than those with a PhD in the same field. For example, the Bureau of Labor Statistics estimates computer and information scientists have a 22 percent job growth rate. These include quantum computing researchers, engineers, and scientists.

On the other hand, BLS classifies senior quantum computing professionals under physicists and astronomers, representing an 8 percent job growth rate over the next ten years. The job outlook may differ because a Master’s in Quantum Computing prepares you for industrial-oriented jobs, whereas a PhD is more focused on research and academic careers.

The difference in Salary for Quantum Computing Master’s vs. PhD

The salary difference for quantum computing master’s and PhD holders is slightly different, with PhD graduates earning more. Although there are no specific salary outlooks for quantum computing, PayScale statistics highlight salaries for computing professionals.

Generally, a PhD in Computing makes you eligible for an average salary of $134,000 per year , while a Master’s in Computing will earn you an average of $111,000 per year . Remember, these are blanket figures for computing jobs, and the salary will differ depending on your job title, location, and employer.

Related Quantum Computing Degrees

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Why You Should Get a PhD in Quantum Computing

You should get a PhD in Quantum Computing because of the career opportunities, higher earning potential, and extensive knowledge and research opportunities this degree provides. In addition, quantum computing is a highly technical field, and pursuing a PhD allows you to explore uncharted areas of this rapidly growing field.

Reasons for Getting a PhD in Quantum Computing

• Research Opportunities. A PhD involves a lot of research work, allowing you to make valuable contributions to the field of quantum computers. You will spend a year or more completing your dissertation of original research and making innovative discoveries, which will enhance your knowledge of quantum computing.
• Higher Earning Potential. A PhD in Quantum Computing is the highest level of education, which means you can negotiate for higher salaries in any job. Although PhD holders have a lower job outlook, they will still earn more than master’s degree holders and undergraduate professionals.
• Career Opportunities. With advancements in quantum technology, more people pursue computing careers, which makes this field a highly competitive industry. Earning a PhD in Quantum Computing places you ahead of your competition. It is a highly technical field that requires extensive knowledge, and employers will prioritize those with advanced credentials.
• Become a Quantum Computing Expert.  Through extensive research, projects, and advanced coursework, you will gain expert-level knowledge of quantum computers and become an expert in all things quantum computing. Quantum computing PhD holders gain advanced skills in various areas, including quantum research, algorithmic thinking, and quantum software tools.
• Reach your Full Potential. Earning a PhD in Quantum Computing allows you to reach your full potential. Pursuing a PhD in Quantum Computing is very hard and tests your resilience. Committing to the end allows you to grow professionally and individually through discipline and dedication.

Getting a PhD in Quantum Computing: Quantum Computing PhD Coursework

Getting a PhD in Quantum Computing involves completing extensive coursework that tackles every area of quantum computing. The standard quantum computing PhD coursework includes advanced courses, comprehensive exams, research work, assistantships, and a dissertation thesis. Below is a further analysis of the coursework, graduation requirements, and career outlook.

Quantum Optics

Quantum optics is an area of physics that focuses on applying quantum mechanics principles to occurrences involving light. You will learn about the nature of individual quanta of light, known as a proton, and its interaction with atoms and molecules. You will also explore the history of quantum optics, the first significant developments, and their applications to quantum computing.

Quantum Information Processing

Quantum information processing (QIP) is a core quantum computing course because it tackles an important part of the quantum computing system. This course will teach you how to process, analyze, and interpret quantum data using quantum information processing techniques. You will also explore quantum circuits, quantum control, quantum error-correction systems, quantum complexity theory, and quantum algorithms.

Implementation of Quantum Information Processors

In this course, you will discover the obstacles to implementing a quantum computing device and how to overcome them. You will learn about minimizing control and manipulation to achieve gate operations and the significance of quantum processors in QIP. You will also discover how quantum processors perform calculations based on probability.

Quantum Material Modeling

Quantum materials include topological insulators, magnets, superconductors, and multiferroics. You will learn how quantum materials affect current theory and contribute to quantum computing. Additionally, the course explores the tools and methods required to analyze, synthesize and manipulate these materials.

Quantum Cryptography   

Quantum cryptography or quantum key contribution refers to the process of encrypting and protecting quantum information using quantum mechanics principles. You will learn to apply quantum cryptography to data transmission, avoiding leaks and hacking incidents.

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How to Get a PhD in Quantum Computing: Doctoral Program Requirements

To get a PhD in Quantum Computing, you must fulfill the doctoral program requirements. The requirements include a dissertation thesis, exam results, course requirements, candidacy, assistantship requirements, residency, and research seminars.

The requirements are diverse and may vary depending on the academic institution. If you are wondering how to get a PhD in Quantum Computing, read the below list detailing five standard graduation requirements for quantum computing PhD students.

You must fulfill all the course requirements as per the university’s prerequisites. The coursework will include core courses, electives, and specialized courses. Students must complete all core courses and select a specific number of courses from the other categories. For example, Harvard University requires you to complete four core courses, add two specializations, and three elective courses.

You will complete qualifying or preliminary exams as part of the degree program. Students will complete a comprehensive exam that demonstrates their academic foundation and knowledge of quantum computing fundamentals. This exam will be administered in written or verbal form and indicates you are ready to begin your dissertation work.

Assistantships involve simultaneously working and learning within the academic institution. You can select a teaching, research, lab, or general graduate assistantship. Although assistantships are a mandatory PhD requirement, you will benefit from tuition waivers, cash compensation, and employee benefits like health insurance. You can confirm all the benefits for each program with the graduate studies department.

A PhD candidacy refers to the stage where you have completed all graduation prerequisites except the dissertation thesis. You will complete all the required courses and pass a qualifying exam before advancing into candidacy. Keep in mind that you must submit an application form to qualify for the candidacy.

All quantum computing PhD students must complete a detailed thesis of original research work in an area of quantum computing. You will explain your research sources, methods, references, and other relevant parts of a dissertation. Furthermore, you must defend your dissertation work in front of a thesis committee that will ask a variety of open-ended questions.

Potential Careers With a Quantum Computing Degree

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PhD in Quantum Computing Salary and Job Outlook

Graduates with a PhD in Quantum Computing enjoy high salaries and access to many job industries. Generally, you will earn between $90,000 and $150,000 or higher depending on your employer. The job outlook is promising because it requires applicants with extensive knowledge in the field, while an increasing number of organizations are implementing quantum computers.

What Can You Do With a PhD in Quantum Computing?

With a PhD in Quantum Computing, you can work as a senior quantum scientist, quantum senior software engineer, quantum optics researcher, and quantum computing research lead. Quantum computing PhD graduates have access to a wide range of career opportunities at senior levels.

You can also apply for jobs across different industries, including health care, academia, Blockchain and cryptocurrencies, supply chain management, cyber security, and finance. Many major companies like IBM Quantum, Microsoft Azure Quantum, Cambridge Quantum, and Amazon are developing quantum computing services.

Best Jobs with a PhD in Quantum Computing

• Quantum computing professor
• Quantum optics researcher
• Quantum error correction researcher
• Quantum software engineer
• Quantum research scientist

What Is the Average Salary for a PhD in Quantum Computing

According to PayScale data, a PhD in Computing makes you eligible for an average salary of $134,000 . This figure includes all computing professionals, but quantum computing professionals have even higher earning potential.

Highest-Paying Quantum Computing Jobs for PhD Grads

Best Quantum Computing Jobs with a Doctorate

A Doctorate in Quantum Computing opens doors to jobs with lucrative salaries and amazing benefits. The best quantum computing jobs with a doctorate are primarily senior roles that come with a wide range of responsibilities. Below, you will explore a detailed overview of the highest-paying jobs for PhD graduates, including job outlook, and responsibilities.

Quantum system managers act as project managers in quantum computing organizations. You will plan, coordinate, and lead the team in implementing quantum computing activities to meet company needs. In addition, you will direct the maintenance of quantum computers, negotiate with vendors, propose new quantum technology, and report to the stakeholders.

• Salary with a Quantum Computing PhD: $159,010
• Job Outlook: 11% job growth from 2020 to 2030
• Number of Jobs: 482,000
• Highest-Paying States : New York, California, New Jersey, Washington, District of Columbia

Quantum physicists explore the physical laws that influence the behavior of atoms, electrons, and photons. You will design and perform experiments, develop and explain scientific theories, develop computer software, write scientific papers, and analyze physical data. This is a broad role that entails a wide selection of duties and requires knowledge of quantum algorithms, machine learning, quantum sensing, and quantum mechanics.

• Salary with a Quantum Computing PhD: $152,430
• Job Outlook: 9% job growth from 2020 to 2030
• Number of Jobs: 19,500
• Highest-Paying States : Pennsylvania, Kansas, Arizona, California, Missouri

Quantum research scientists help quantum computing organizations to solve problems with research. You will apply quantum theory principles to enhance how quantum computers optimize problems and improve performance. You will also analyze performance results, develop computing languages, present research findings, and test software systems operations.

• Salary with a Quantum Computing PhD: $131,490
• Job Outlook: 22% job growth from 2020 to 2030
• Number of Jobs: 33,000
• Highest-Paying States: Oregon, Arizona, Texas, Massachusetts, Washington

A quantum computing engineer applies quantum mechanics principles in designing and executing computing experiments. You will design and implement system improvements and collaborate with other engineers within the company to meet set goals. You must demonstrate expertise in electrical and electronic engineering, computer science, quantum physics, artificial intelligence, and programming languages.

• Salary with a Quantum Computing PhD: $108,774
• Number of Jobs: 1,847,900
• Highest-Paying States: California, Washington, Maryland, New York, Rhode Island

Quantum computing professors teach quantum computing at the university level. You will teach undergraduate or graduate students, depending on your expertise and the experience you gain from the assistantship. Some of your duties will include developing a course outline, planning lessons and preparing assignments, advising students on the right courses, conducting research, and contributing to curriculum changes.

• Salary with a Quantum Computing PhD: $93,070
• Job Outlook: 12% job growth from 2020 to 2030
• Number of Jobs: 1,276,900
• Highest-Paying States: California, Massachusetts, New York, Oregon, Wisconsin

Is a PhD in Quantum Computing Worth It?

Yes, a PhD in Quantum Computing is worth it. A PhD is the highest level of education and gives you in-depth knowledge of quantum computing skills. It comes with a wide selection of benefits including higher earning potential, research opportunities, and senior career opportunities.

The future of quantum computing is promising as more organizations develop quantum computing cloud services and design quantum computers. You can expand your opportunities across different industries and leave your mark on the development of quantum computers.

Additional Reading About Quantum Computing

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PhD in Quantum Computing FAQ

You can get a job in quantum computing by pursuing an accredited education path, improving your quantum computing skills, and gaining experience through internships and entry-level or mid-level jobs. You can also expand your portfolio by working on a wide variety of quantum computing projects. A PhD in the field will be the peak academic achievement on your CV.

No, you don’t need a PhD in quantum computing to pursue senior careers. The quantum computing industry accommodates master’s degree holders for senior roles. However, pursuing a PhD boosts your research capabilities.

Yes, quantum computing is the future. Many organizations are adapting quantum computing applications, and the industry is witnessing a rise in the number of quantum computing startups . The growth also indicates job security throughout the future for quantum computing professionals.

The programming languages you can use in quantum computing include QML, Quantum Lambda Calculus, QMASM, QCL, and Silq. You will learn how to use these languages to translate data into ideas that quantum computers can implement.

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Graduate studies

Quantum information program

The University of Waterloo, in collaboration with the Institute for Quantum Computing (IQC), offers graduate students unique opportunities to learn about and engage in world-leading research in quantum information through a wide range of advanced research projects and advanced courses on the foundations, applications and implementation of quantum information processing.

IQC has a critical mass of expertise in several major research areas within quantum information, including but not limited to:

• Quantum error correction and fault tolerance
• Quantum complexity
• Quantum algorithms
• Quantum information theory
• Spin-based quantum information processing
• Nanoelectronics-based quantum information processing
• Optical quantum information processing
• Quantum cryptography
• Ultracold atoms and trapped ions

Learn more about this program

Courses available.

• Supervisors

Career outcomes

Degrees available and requirements, how to apply.

• Future student resources from Graduate Studies and Postdoctoral Affairs
• International student resources from Graduate Studies and Postdoctoral Affairs

IQC offers one of the broadest and deepest number of Quantum Information and Computation (QIC) courses. The courses available are listed below and their full course descriptions are available in the graduate calendar.

• Quantum Information Processing (QIC 710)
• Quantum Information Processing Devices (QIC 750)
• Theory of Quantum Information (QIC 820)
• Quantum Algorithms (QIC 823)
• Magnetic Resonance and Spin-based Quantum Information Processing
• Applied Quantum Cryptography
• Implementation of Quantum Communication
• Selected Advanced Topics in Quantum Information
• Design in Quantum Systems
• Optical and Atomic Implementation
• Quantum Error Correction and Fault Tolerance
• Theory of Quantum Communication
• Semidefinite Programming in Quantum Information
• Recent advances in Quantum Information
• Quantum Complexity Theory
• Building a Neutron Camera
• Spin-based Quantum Information Processing
• Haar Measure in Quantum Information
• Modern Quantum Optics and Nanophotonics
• Solid-state Photonic Devices
• Relativistic Quantum Information
• Entanglement and Nonlocality
• Topics in Quantum-Safe Cryptography
• Introduction to Noise Processes
• Qubits with Semiconductors and Spins
• Functional Analysis Methods in Quantum Information Theory
• Algebraic Coding Theory
• Advanced topics in Quantum Optics
• Quantum Sensing
• Quantum Optics
• Entanglement Non-local Effects
• Approximate Representation Theory of Groups and Non-local Games
• Applications of Operator Algebras in Quantum Information Theory
• Matter Wave Optics and Interferometry
• Advanced Topics in Quantum Information Theory
• Open Quantum Systems (QIC 845)
• Nanoelectronics for Quantum Information Processing (QIC 880)
• Quantum Electronics and Photonics (QIC 885)
• Many-Body Physics and Quantum Foundations/Information
• Examples of Quantum Devices
• Implementations of Quantum Information Processing
• Introduction to Quantum Computing
• Post Quantum Cryptography
• Network Security
• Cryptography
• Quantum Cryptography Beyond Quantum Key Distribution
• Quantum Communication Devices
• Quantum Cryptography Tools
• Information-theory Methods in Communication Complexities
• Experimental Technique for Quantum Communication
• Nuclear Magnetic Resonance
• Theory of Quantum Optics
• Quantum Information and Communication
• Quantum Information and Machine Learning
• Programming Quantum Computers

Our alumni have found diverse careers working in academia, multinational companies, governments and start-ups. IQC alumni have landed all over the globe. Expore what some   IQC alumni   are doing now and review a sample of where they are working.

In particular, we offer a new interdisciplinary graduate program in Quantum Information that leads to MMath, MSc, MASc, and PhD degrees. The program is offered in collaboration with:

• Department of Applied Mathematics
• Department of Combinatorics and Optimization
• David R. Cheriton School of Computer Science
• Department of Pure Mathematics
• Department of Chemistry
• Department of Physics and Astronomy
• Department of Electrical and Computer Engineering

Students are required to complete the requirements of both their home unit and the specific requirements of the Quantum Information (QI) program to achieve the special QI designation. For example, MMath in Computer Science (Quantum Information), PhD in Chemistry (Quantum Information), MASc in Electrical and Computer Engineering (Quantum Information).

MMath, MSc, and MASc students will receive a strong and broad foundation in quantum information science, coupled with knowledge and expertise from their home program. This will prepare them for the workforce or further graduate studies and research leading towards a PhD.

PhD students will be prepared for careers as scholars and researchers, with advanced expertise in quantum information science, along with the focus of their home program. The new program is designed to provide knowledge of quantum information, including theory and implementations, their home program discipline, and also developed advanced expertise in their particular research area within quantum information.

For tips and advice on how to apply and next steps please, connect with Waterloo's Graduate Studies and Postdoctoral Affairs office.

UCL Quantum Science and Technology Institute

Quantum Doctoral Programmes

• How to Apply
• Industrially Co-Supervised Projects
• Information for International Applicants
• Information for Referees
• PhD Projects
• Structure of the Programme
• Summer Placements

UCL is launching a new Doctoral Training Programme focussing on quantum computation and quantum communications.

From 2024, UCL will train emerging research leaders in the fields of quantum computing and quantum communications.

This new doctorial training programme will equip them with the necessary expertise and practical knowledge to fulfil the potential of this ground-breaking field. Students will undergo a comprehensive and rigorous cross-disciplinary training programme, collaboratively designed by a diverse team of UCL academics and our extensive network of partners.

Interested in applying?

• Apply to the new quantum computing and quantum communications PhD programme

Deadline for applications: Sunday 4 February 2024 at 23:59 UTC.

We particularly encourage applications from female students & students of minority ethnic backgrounds as these are currently underrepresented within the field of quantum technologies.

The fields of quantum computation and quantum communications are at a pivotal juncture, as the next decade will determine whether the long-anticipated technological advancements can be realised in practical, commercially-viable applications.

With a wide-ranging spectrum of research group activities at UCL, the programme is uniquely situated to offer comprehensive training across all levels of the quantum computation and quantum communications system stacks. This encompasses advanced algorithms and quantum error-correcting codes, the full range of qubit hardware platforms, quantum communications, quantum network architectures, and quantum simulation.

The programme has been co-developed through a partnership between UCL and a network of UK and international partners. This network encompasses major global technology giants such as IBM, Amazon Web Services and Toshiba, as well as leading suppliers of quantum engineering systems like Keysight, Bluefors, Oxford Instruments and Zurich Instruments. We also have end-users of quantum technologies, including BT, Thales, NPL, and NQCC, in addition to a diverse group of UK and international SMEs operating in both quantum hardware (IQM, NuQuantum, Quantum Motion, SeeQC, Pasqal, Oxford Ionics, Universal Quantum, Oxford Quantum Circuits and Quandela) and quantum software (Quantinuum, Phase Craft and River Lane).

Our partners will deliver key components of the training programme. Notably, BT will deliver training in quantum comms theory and experiments, IBM will teach quantum programming, and Quantum Motion will lead a training experiment on semiconductor qubits. Furthermore, 17 of our partners will co-sponsor and co-supervise PhD projects in collaboration with UCL academics.

The four-year course consists of a 6-month cohort-based intensive training programme (ITP) followed by a 42-month research project phase (RPP) leading to the PhD degree.

The ITP gives a broad overview of all the sub-topics within quantum computation and quantum communications, while the RPP allows specialisation and in-depth focus on a specific experimental or theoretical topic. There is however no hard boundary between the phases - there is research activity within the ITP, and cohort-based technical and transferable skills training in the RPP.

Find out more about the structure of the programme.

At the application stage (i.e. in the spring prior to enrolment) students will have the opportunity to apply for industrially co-sponsored and co-supervised projects and/or the General Track.

In the industrially co-supervised track we will advertise specific industrially co-sponsored PhD projects and will recruit students to work on each specific project.

In the general track students will apply to join the programme without a specific PhD project in mind.

Once the students are enrolled, both tracks come together and work as a single unified cohort on common training activities.

To select a track, you will need to complete a  supplementary information form. More information can be found on the how to apply page. 

A full list of the co-sponsored and co-supervised projects for this year.

We aim to admit around 14 students per year. There is a pool of around fifty potential supervisors at UCL, with additional supervisors in our partner institutions.

The programme offers fully funded studentships covering tuition fees and a stipend at an enhanced rate (currently £21,622 per annum tax-free) to cover living costs. Students also receive generous support for training, research expenses and travel during their studies. A limited number of funded places are available for non-UK candidates which will additionally cover the higher tuition fees charged for those students.

Yes! Our quantum doctoral training programmes have admitted students from all over the globe. We have funding for international students in each cohort and welcome their application. Please follow this link for further information on funding for international students and language and visa requirements.

If you have a general question about quantum doctoral training, please contact Ms Lopa Murgai ( [email protected] ) in the first instance. If your question is regarding quantum doctoral training admissions, please contact Admissions Tutor Dr Alfonso Ruocco ( [email protected] ).

• Director: Prof Paul Warburton (LCN / Electrical Engineering)
• Deputy Director: Prof Andrew Fisher (LCN/ Physics and Astronomy)
• Co-Director for Research: Prof Sougato Bose (Physics and Astronomy)
• Co-Director for ITP Training: Prof Dan Browne (Physics and Astronomy)
• Co-Director for RPP Training: Prof Marzena Szymanska (Physics and Astronomy)
• Co-Director for Partner Liaison: Dr Alejandra Beghelli (Electrical Engineering)
• Co-Director for Admissions: Dr Alfonso Ruocco (Electrical Engineering)
• Co-Director for ED&I, and Associate Lecturer: Dr Abbie Bray (LCN)
• Other members of the Management Committee: Prof John Morton (LCN/ Electrical Engineering) and Dr Sarah Malik (Physics and Astronomy)
• Programme Manager, Lopa Murgai (LCN)
• Programme Administrator: Ruby Hugh (LCN)

Quantum Computing

Quantum computing promises to be the next paradigm of computing, harnessing the principles of quantum physics to perform computations and conduct tasks impossible for classical architectures. Today, researchers in academia and industry rapidly advance the field by designing new hardware, software, and algorithms that bring quantum computers closer to their great potential for unlocking new knowledge in physics, chemistry, cryptography, and other fields.

UChicago CS boasts many faculty, research groups, and students engaged at the frontier of this groundbreaking technology, exploring new ways of programming, designing, and teaching about quantum computers. The Enabling Practical-Scale Quantum Computing (EPiQC) collaboration, funded by an NSF Expedition in Computing grant and led by UChicago CS Professor Fred Chong, advances the abilities of near-term quantum computers. The department also benefits from deep connections with the Chicago Quantum Exchange, the National Quantum Information Science Research Centers at Argonne and Fermilab, and companies such as IBM and Intel.

Quantum Computing Research and Education

Enabling practical-scale quantum computing (epiqc).

Launched in 2018 with a $10 million “Expeditions in Computing” grant from the National Science Foundation, the multi-institutional EPiQC collaboration seeks to narrow the gap to quantum computers capable of unprecedented feats. Quantum machines may soon be capable of performing calculations in chemistry, physics, and other fields that are extremely difficult or even impossible for today’s computers. The EPiQC mission is to develop new algorithms, software, and machine designs tailored to key properties of quantum device technologies with 100 to 1000 quantum bits — the scale researchers expect to reach over the next decade.

EPiQC is led by Fred Chong, Seymour Goodman Professor of Computer Science at UChicago, and includes collaborators from Duke, MIT, UCSB, Princeton, Argonne, Carnegie Mellon, and Georgia Tech. Faculty and student researchers in EPiQc have received numerous conference best paper and IEEE Top Picks awards, fellowships in industry, and started businesses in the emerging quantum sector. The collaboration also lays the foundation for tomorrow’s quantum computing experts, with innovative curricula, online courses, and museum exhibits reaching students from kindergarten through graduate school.

First-Year PhD Student Co-Authors Outstanding Paper Award Winner at TQC 2022

Three epiqc papers chosen by ieee micro for annual top picks awards, university of chicago and uiuc lead new quantum education program, the uchicago quantum community, chicago quantum exchange, staq: software-tailored architectures for quantum co-design, polsky center for entrepreneurship and innovation, designing the future of quantum computing.

• Seymour Goodman Professor of Computer Science
• Lead Principal Investigator, EPiQC
• Chief Scientist for Quantum Software, ColdQuanta

Fred Chong is the Seymour Goodman Professor in the Department of Computer Science at the University of Chicago and the Chief Scientist for Quantum Software at ColdQuanta. He is also Lead Principal Investigator for the EPiQC Project (Enabling Practical-scale Quantum Computing), an NSF Expedition in Computing. Chong is a member of the National Quantum Advisory Committee (NQIAC) which provides advice to the President and Secretary of Energy on the National Quantum Initiative Program. In 2020, he co-founded Super.tech, a quantum software company, which was acquired by ColdQuanta in 2022. Chong received his Ph.D. from MIT in 1996 and was a faculty member and Chancellor’s fellow at UC Davis from 1997-2005. He was also a Professor of Computer Science, Director of Computer Engineering, and Director of the Greenscale Center for Energy-Efficient Computing at UCSB from 2005-2015. He is a recipient of the NSF CAREER award, the Intel Outstanding Researcher Award , and 13 best paper awards. His research interests include emerging technologies for computing, quantum computing, multicore and embedded architectures, computer security, and sustainable computing. Prof. Chong has been funded by NSF, DOE, Intel, Google, AFOSR, IARPA, DARPA, Mitsubishi, Altera and Xilinx. He has led or co-led over $40M in awarded research, and been co-PI on an additional $41M.

William Fefferman

• Assistant Professor of Computer Science

I am an Assistant Professor in the computer science department at the University of Chicago. Previously, I held research positions at the University of California at Berkeley, advised by Umesh Vazirani, and in QuICS, at the University of Maryland/NIST. I received my Ph.D. in computer science in the Department of Computer and Mathematical Sciences and the Institute for Quantum Information and Matter at Caltech, co-advised by Alexei Kitaev and Chris Umans.

Diana Franklin

• Associate Professor of Computer Science

Diana Franklin is a Research Associate Professor in Computer Science and Director of Computer Science Education at UChicago STEM Education. She leads the CANON (Computing for ANyONe) research labs, currently consisting of four projects involving computer science education involving students ranging from preK through university. She is the lead PI for quantum computing education for EPiQC, an NSF expedition in computing. Her research agenda explores how to create curriculum and computing environments in ways that reach broad audiences.

Robert Rand

I am an Assistant Professor of Computer Science, part of the  Programming Languages Research Group  and the  Chicago Quantum Exchange . My main interest is in applying techniques from programming languages and formal verification to the domain of quantum computation.

Quantum Computing News & Events

Ian foster and rick stevens named to hpcwire’s 35 legends list, university of chicago to develop software for effort to create a national quantum virtual laboratory, new classical algorithm enhances understanding of quantum computing’s future, fred chong receives quantrell award for excellence in teaching, non-unital noise adds a new wrinkle to the quantum supremacy debate, argonne scientists use ai to identify new materials for carbon capture, new research unites quantum engineering and artificial intelligence, group from uchicago cs to present four papers at most prestigious international quantum conference, uchicago scientists make new discovery proving entanglement is responsible for computational hardness in quantum systems, virtual bakery game serves up both cupcakes and quantum concepts for k-12 students, assistant professor robert rand receives air force young investigator grant, prof. fred chong reappointed to national quantum initiative advisory committee.

GRADUATE RESEARCH

Quantum Computing

Doctoral student research in quantum computing.

Quantum computing has emerged as an alternative computational model. Realizing the practical acceleration using a Noisy Intermediate-Scale Quantum computer is one of the most important problems of our century. While prototypes are being built now, moving computations to a fully-functional fault-tolerant quantum computer still faces many technical hurdles.

Key challenges are scalability, i.e., the ability to coherently manipulate information stored in a multi-qubit system, and devising efficient algorithmic solutions that take advantage of quantum hardware. At Rice CS, we cover multiple subfields of quantum information science and computing including (hybrid/variational) quantum algorithms and quantum characterization/verification.

Faculty members leading research in Quantum Computing are as follows:

• Nai-Hui Chia  
• Anastasios Kyrillidis
• Tirthak Patel

The videos below represent current student research projects. 

Graduate Research Videos in Quantitative Computing

• PhD student
• Faculty member
• Entrepreneur

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PhD track Quantum Science and Technologies (QUANTIX)

WHY ENROLL IN THIS PROGRAM?

Get ready for a PhD by starting research at an early stage

Be closely associated with the research activities carried out in a world-renowned innovation cluster

Benefit from individual and personalized supervision by a faculty member

• Description
• Associated Laboratories
• PhD Tracks Research Projects

Quantum Technologies have seen a dramatic development in the past few years. The realization of individual quantum systems and the control of new materials with unconventional properties has paved the way to the development of machines and protocols based on the most fundamental aspects of quantum mechanics, without classical counterparts, such as the superposition of states and entanglement. The demonstration of quantum supremacy in 2019 has been a major step, but many new challenges remain to be taken for the complete deployment of Quantum Technologies, at both the fundamental level and that of practical applications.

The Quantum Science and Technologies PhD track is organized around six pillars:

• Quantum Materials
• Quantum Simulation
• Quantum Computation
• Quantum Sensing and Metrology
• Quantum Communication and Networking
• Quantum Information Processing

It aims at providing the students with a high level education at the state of the art of quantum physics and quantum information processing in direct contact with forefront research in all these fields.

• Be trained to forefront challenges in quantum science and its technological applications
• Contribute to cutting-edge research in a word-leading research center
• Discover a multidisciplinary field at the frontier of theoretical and experimental physics, computer science, and applied mathematics.
• Discover the diversity of quantum technologies in the rich scientific environment of the Plateau de Saclay
• Become a leader of the next generation of reserachers and engineers in quantum science and technologies

Partner University

• Université Paris-Saclay

The five-year curriculum of the PhD track trains students in cutting-edge research for them to pursue international careers  in prestigious universities and academic labs or leading companies in quantum technologies. 

The PhD Track provides a five-year "à la carte" integrated Master and PhD program for particularly motivated and talented students aiming at preparing a career in academia or industry through an individualized research-oriented training program in Quantum Science and Technologies. Students will be attributed an academic tutor in their field of research from the very start of their studies at IP Paris. In coordination with their tutor, students will elaborate their own personal curriculum consisting of course work and research phases corresponding to their research interests and professional project.

During their first year, students will follow a selection of high level courses focused on quantum physics and its interfaces. It may include computer science and applied mathematics courses, as well as complementary modules allowing them to broaden their general scientific culture and to acquire complementary skills. At the same time, the students are immediately members of the research team of their tutor and participate in team activities and research discussions. This includes in particular attending relevant research seminars and potentially topical workshops. During the first year, students will work on a research project, in collaboration with their host team. A significant part of the second year will be devoted to a larger-scale research work, giving rise to a Master thesis and – most likely – first research publications. This is also the occasion to consolidate their choice for the topic of their PhD.

While it will still be possible to follow selected – more specialized – scientific courses and courses in secondary skills, the last three years of the PhD Track program will be mainly devoted to research work towards the PhD degree.

In addition to the weekly laboratory work, two mandatory full-time internships take place during the spring, one at the M1 level, the other at the M2 level. The duration and corresponding number of ECTS are at least those of the main Master in which the student is enrolled. The number of ECTS can be adapted depending on the duration of the internship.

Students have the opportunity to visit international partner universities.

All relevant laboratories of IP Paris and partner institutions, in particular

• Center for Theoretical Physics (CPHT, Ecole Polytechnique
• Laboratory for Applied Optics (LOA, Ecole Polytechnique/ENSTA)
• Laboratory for Condensed Matter Physics (PMC, Ecole Polytechnique)
• Laboratory for Information Processing and Communication Laboratory (LTCI, Telecom Paris)
• Laboratory for Irradiated Solids (LSI, Ecole Polytechnique)

Admission requirements

Academic prerequisites.

Completion with highest honors of a Bachelor in physics, including courses in quantum physics, at Institut Polytechnique de Paris or equivalent in France or abroad.

Evidence of research potential is essential as the main goal of such a PhD program is to train first class researchers. 

Students who have completed the first year of an equivalent program may exceptionally be directly admitted to the second year (4-year PhD program).

Language prerequisites

A certificate of proficiency in English (level B2) is required (TOEIC, IELTS, TOEFL, Cambridge ESOL), except for native speakers and students who previously studied in English.

How to apply

Applications are exclusively online. You will be required to provide the following documents:

• Transcript 
• Two academic references (added online directly by your referees)  
• CV/resume 
• Statement of purpose indicating which 2 choices of research subjects among the one listed on this page under the section "PhD Track Research Projects"

You will receive an answer in your candidate space within 2 months following the closing date of the application session. 

Fees and scholarships

Registration fees are available here

Find out more about scholarships

Please note that fees and scholarships may change for the following year.

Applications and admission dates

Coordinator.

• Luca Perfetti 

General enquiry

• [email protected]

When applying to the PhD Tracks in Physics, you should describe your preferred fields of study and research in your motivation letter. You are ecouraged to choose two preferred PhD Track subjects among the list below.   Since the posted offers do not cover the full spectrum of our activities , you can also visit the web pages of the 11 laboratories (CPHT, IPVF, LLR, LOA, LOB, LPICM, LPMC, LPP, LSI, LULI, Omega) affiliated to the physics department and indicate the research lines that interest you the most.

PhD Track research projects in “QUANTUM SCIENCE AND TECHNOLOGY”

• Correlated quantum matter and quantum information
• Ultrafast dynamics of electrons in quantum materials
• Re-using model results to determine materials properties: connector theory approach
• Collective electronic fluctuations and their influence on materials properties
• Spin-dependent charge dynamics in dilute nitride and defect-engineered semiconductor quantum structures and devices
• Electronic processes in nitride semiconductor quantum structures and devices
• Theory of Many-Body Quantum States
• Probing the quantum properties of spin defects in 2D materials
• Time-frequency quantum information processing
• Uncovering a new law of physics in quantum materials

Quantum Science & Engineering

Join the quantum revolution at Harvard.

We are witnessing the birth of Quantum Science & Engineering, an event no less significant than the advent of the physics and engineering of electronics at the beginning of the last century. This new discipline demands new approaches to educating the rising generations of researchers who will require deep knowledge of science and engineering principles.

The quantum world of very small things has only recently been amenable to full control and this, in turn, has led to an explosion in potential applications, from new approaches to computation and communication, to more rapid drug discovery, and new sensors with unprecedented precision and resolution. We are at the frontier of the development of fully engineered quantum systems, starting from physical phenomena exhibited by quantum materials, integrating devices and systems subject to quantum architectures, and transforming the way in which we acquire, communicate, and process information.

Harvard University plays a leading role in the development of Quantum Science & Engineering. We invite you to learn more about our PhD program .

In Quantum Science & Engineering

• Program Website
• Core Faculty
• Faculty Research Interest Comparison
• HQI Faculty @ SEAS
• Faculty Collaborations @ SEAS

Featured Stories

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Post-baccalaureate program help students transition to the next academic level

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Quantum Noir fosters sense of community among individuals of color involved in quantum science and engineering

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A quantum world on a silicon chip

Researchers develop a platform to probe, control qubits in silicon for quantum networks

Applied Physics , Quantum Engineering

The application of quantum phenomena to the development of new technological applications is one of the challenges of this century, as it promises to revolution citizens’ lives on communication, sensing, computation, and security. Quantum technologies are a priority of European and national stakeholders, in order to secure European technological sovereignty in this highly strategic field. As renowned actor in quantum science and technology, Université Grenoble-Alpes is proposing a COFUND DP aimed at efficiently train research fellows in this emergent domain, facing short to long-term challenges, and to build their career perspectives with various track options (short to medium-term positions, in private employment market, where the need of several thousand jobs profiles in quantum topics is expected to emerge in the next eight years, and in renown research centres all across Europe). Fellows will be at the forefront of emergent quantum discoveries from fundamental science to novel technologies, in a “3i” ecosystem, with perspective to diversify their set of skills and forge new mind sets and approaches to research and innovation. QuanG will rely on the strong basis sets by previous COFUND, enabling fellows to be rapidly recruited using robust, efficient, fair and transparent recruitment and integration process, and immersed in excellent training and supervision conditions, both from research and transferable skills perspectives. Besides, QuanG will aim at including all types of minorities and will strongly encourage women applications. 30 Associated Partners, academics and industrials, and 17 laboratories are supporting UGA in pushing forward this ambitious project, that will recruit 36 PhD fellows, over 4 calls, for a duration of 5 years. UGA consortium will invest 60% of the total funding available to fellows noticeably covering research, training, communication and selection costs.

Autumn 2024 Call for theses

We are opening in Grenoble a common PhD call in quantum sciences and technologies supported by the QuanG Marie-Sklodowska-Curie Action (MSCA) COFUND program of the European Union, the QuanTEdu-France PhD program and the Labex QuantAlps.

Candidates are encouraged to apply to all the different programs if they fulfill the corresponding eligibility criteria. We strive for gender diversity and equality in the profiles of the selected candidates and we are particularly committed to support women in quantum sciences and technologies.

QuanG – We are seeking talented and motivated applicants in the domains of physics, computer science, electrical engineering, mathematics, chemistry and humanities, for a PhD thesis in quantum sciences and/or technologies (see the Guide of Applicant for details). The thesis project has to plan a secondment in a company (2 months) or in an international academic laboratory (4 months). Applicants have to satisfy the EU MSCA mobility criteria i.e. they must have not spent more than 12 months in France during the last three years (i.e., between March 16th 2021 and March 15th, 2024), not including holidays

QuanTEdu-France –  We are seeking talented and motivated applicants in the domains of physics, computer science, electrical engineering and mathematics, for a PhD thesis in quantum technologies. Thesis topics have to cover quantum computing, quantum simulation, quantum communication, quantum sensors or quantum metrology.

QuantAlps-Labex –  We are seeking talented and motivated applicants in the domains of physics, computer science, electrical engineering, mathematics, and humanities, for a PhD thesis in quantum sciences. The PhD thesis project must fulfil at least one of the Labex synergy criteria: i) co-supervision by researchers belonging to two different teams of the QuantAlps laboratories; ii) interdisciplinary or inter-Labex project; iii) collaboration with R&D laboratories or companies.

Pratical informations

PhD STARTING DATE : February 1st 2025 to June 1st 2025.

GROSS SALARY PRIOR TO EMPLOYEE TAX DEDUCTION :      2200 euros for QuanTEdu-France and QuantAlps Labex; 2300 euros for QuanG                                  

Additional travel allowance will be granted by QuanG and QuanTEdu programs. For QuanG, it will cover up to 8k€ the secondment costs including travel and accommodation, and the participation to international conferences and schools. For QuanTEdu-France, a funding of 5k€ is awarded to finance missions (registration, travel and accommodation) during the thesis.

Yearly enrollment to University Grenoble Alpes is around 500 euros (covered by QuanG only)

DURATION : 36 months

APPLICATION PROCEDURE : candidates have to apply for QuanG, QuanTEdu and QuantAlps programs through the application interface with its online form. 

They have to present a PhD project together with their future supervisors, following the instructions detailed in the application interface. 

Two reference letters following  the model proposed in the application interface should be sent directly by theirs authors to the email address: [email protected]

Deadlines and timeline

By September 27 th 2024 at 17:00 (central European time): the complete application should be submitted through the web interface and the reference letters should be sent by email to [email protected]

November 11 th to 15 th , 2024 : selection of candidates for an interview.

December 12 th to 16 th , 2024 : interview of the selected candidates.

December 20 th , 2024: information on the outcome of the selection.

By January 3 rd , 2025 at 23:59  (central European time) : acceptance of the positions is required from the selected candidates.

PhD thesis subjects

• First-principles theory of multiferroicity in magnetic spinels
• Quintin MEIER & Sophie DE BRION
• [email protected] & [email protected]
• Germanium bolometers for quantum information
• Boris Brun-Barriere & Clemens Winkelmann
• [email protected] & [email protected]
• Quantum simulation of magnetic memories based on 2D materials
• SPINTEC & CROMA
• Mairbek Chshiev & Alessandro Cresti
• [email protected] & [email protected]
• Quantum capacitance of an anyon box in bilayer graphene
• Alexandre ASSOULINE
• [email protected]
• Single-shot detection of propagating electron wave packets
• Christopher BAUERLE & Matias URDAMPILETTA
• [email protected] & [email protected]
• Selective area growth of GeSn for infrared photonic devices
• Simone Assali
• [email protected]
• Probing the band structure of topological 2D materials with quasiparticle interference
• Vincent Renard &  Clemens Winkelmann
• [email protected] &  [email protected]
• Spin-photon interfaces in silicon
• Lorenzo De Santis
• [email protected]
• Nanopatterning of flat bands in superconductors for higher critical temperatures
• Florence LEVY-BERTRAND & Cécile NAUD
• [email protected] & [email protected]
• Exploring new frontiers in high temperature superconductors
• Marc-Henri JULIEN
• [email protected]
• Topological superconductivity imaged by scanning SQUID microscopy
• Klaus HASSELBACH
• [email protected]
• (+33) 4 76 88 11 54
• Ultra-Coherent Nanomechanical Resonators
• Andrew FEFFERMAN
• [email protected]
• Quantum circuit based on aluminum/germanium hybrid Josephson junctions
• Cecile NAUD
• [email protected]
• (+33) 4 56 38 71 76
• Optical detection of the coherent spin dynamics of individual magnetic defects in a semiconductor
• Lucien Besombes
• [email protected]
• (+33) 4 56 38 71 58
• Properties of REBCO HTS tapes under high magnetic field and low temperature : contribution to the design of very high field magnets
• LNCMI & NEEL
• Xavier Chaud & Pascal Tixador & Arnaud Badel
• [email protected] & [email protected] & [email protected]
• (+33) 4 76 88 74 87
• Emulating the many-body physics of two-dimensional spin systems: 0D and 1D quasiparticle excitations, vacuum fluctuations and emerged gauge field
• Institut Néel
• Johann Coraux & Nicolas Rougemaille
• [email protected] & [email protected]
• (+33) 4 76 88 12 89
• Quantum memory integration of rare-earth doped crystals
• NÉEL Institute Grenoble
• Thierry Chanelière
• [email protected]
• (+33) 4 76 88 10 07
• Topological-superconducting group IV nanomaterials
• Pheliqs/IRIG
• [email protected]
• Hole spin and Circuit Quantum Electrodynamics
• Etienne Dumur
• [email protected]
• Triplet superconductors: from weak to strong spin-orbit coupling
• Manuel Houzet & Julia Meyer
• [email protected]
• [email protected]
• Radio-Frequency Reflectometry for Si spin quantum bits
• Xavier Jehl
• [email protected]
• Symmetry Breaking
• Georg Knebel
• [email protected]
• III-nitride nanostructures for far-UVC emitters
• [email protected]
• P-N junction nanowires for solar cells
• Martien Den Hertog & Eva Monroy
• [email protected]
• Magnetic materials
• Alexandre Pourret
• [email protected]
• Harnessing the Thz dynamics of antiferromagnets
• Vincent Baltz & Ursula Ebels & Anne-Laure Barra & Romain Lebrun
• vincent.baltz[AT]cea.fr
• ursula.ebels[AT]cea.fr
• anne-laure.barra[AT]lncmi.cnrs.fr
• romain.lebrun[AT]cnrs-thales.fr
• Curvilinear magnetism and spintronics in core-shell nanotubes
• Olivier Fruchart & Aurélien Masseboeuf
• olivier.fruchart[AT]cea.fr
• aurelien.masseboeuf[AT]cea.fr
• Multi-platform Image processing for Quantitative Magnetic Imaging
• Aurélien Masseboeuf & Daria Gusakova
• daria.gusakova[AT]cea.fr

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PhD fellowship in quantum algorithms and quantum science education

• Quantum physics

PhD Project in developing and conveying quantum algorithms. The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen, Denmark. At the Niels Bohr Institute, University of Copenhagen, where the formulation of Quantum Mechanics was born 100 years ago, we aim to establish an international quantum computing programme, funded by the Novo Nordisk Foundation, that will drive research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions for the quantum-classical control and readout interface, and all the way to quantum algorithms and applications.  The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life-science-relevant chemical and biological problems.

The project

The PhD project will investigate quantum systems which naturally perform certain aspects of quantum algorithms. The aim is to draw upon the intuition obtained from these systems to 1) make the dynamics of quantum algorithms more accessible to non-experts of the field and 2) to investigate new aspects of quantum algorithms. The PhD student involved in this project will be a member of and work in close collaboration with both the NQCP Education & Outreach (E&O) team as well as the NQCP Algorithms & Applications team.

With colleagues in the NQCP E&O team the candidate will also convey a broader range aspects concerning quantum technologies by developing new teaching material and through teaching at pre-university, university and post-university level.

Start date is (expected to be) January 1st 2025 or as soon as possible thereafter.

About the team:

The NQCP E&O team is an integrated part of NQCP, all members are actively involved in the NQCP research. The NQCP E&O team is dedicated to ensure the best possible quantum workforce development. Our work on this currently focuses on

• Development of new teaching and communicational material
• Collaboration with talent programmes
• Hands on quantum training
• Raising quantum awareness
• Lowering the barrier for using or collaborating with experts on quantum computing
• Building bridges between students and quantum industry

Who are we looking for?

We are looking for highly motivated candidates with a background from Physics, Nano-Science, or Mathematics. Theoretical/experimental/computational competenses and experience within quantum physics are important. We hope to get applications from enthusiastic students with loads of academic drive, a flair for teaching and educational ingenuity.

The Scientific environment

We offer creative and stimulating working conditions in a dynamic and international research environment hosted by the NNF Quantum Computing Programme at the Niels Bohr Institute, University of Copenhagen.

• Principal supervisor   is associate professor Kim Splittorff ( [email protected] ).

The PhD programme

Depending of your level of education, you can undertake the PhD programme as either:

Option A:   A  three year full-time study  within the framework of  the regular PhD programme  ( 5+3 scheme) ,  if you already   have an education   equivalent to a relevant Danish master’s degree.

Option B: A n up  to five year full-time study programme  within the framework of  the   integrated MSc and PhD   programme  (the 3+5 scheme),  if you do not have an education   equivalent to a relevant Danish master´s degree   – but you   have   an education   equivalent to a Danish bachelors´s degree .

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Option A: Getting into a position on the regular PhD programme

Qualifications needed for the regular programme To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. physics, nano-science or math. For information of eligibility of completed programmes, see   General assessments for specific countries   and   Assessment database .

Terms of employment in the regular programme Employment as PhD fellow is full time and for maximum 3 years.

Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.

Terms of appointment and payment accord to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. The position is covered by the Protocol on Job Structure.

Appointment will be subject to receipt of a security clearance. 

Option B: Getting into a position on the integrated MSc and PhD programme

Qualifications needed for the integrated MSc and PhD programme

If you do not have an education   equivalent to a relevant Danish master´s degree , you might be qualified for the integrated MSc and PhD programme, if you have an education equivalent to a relevant Danish bachelor´s degree. Here you can find out, if that is relevant for you:   General assessments for specific countries   and   Assessment database .  

Terms of the integrated programme To be eligible for the integrated scholarship, you are (or are eligible to be) enrolled at one of the faculty’s master programmes in Physics.

Students on the integrated programme will enroll as PhD students simultaneously with completing their enrollment in this MSc degree programme.

The duration of the integrated programme is up to five years, and depends on the amount of credits that you have passed on your MSc programme. For further information about the study programme, please see:   www.science.ku.dk/phd , “Study Structures”.

Until   the MSc degree is obtained, (when exactly two years of the full 3+5 programme remains), the grant will be paid partly in the form of 48 state education grant portions (in Danish: “SU-klip”) plus salary for work (teaching, supervision etc.) totalling a workload of 150 working hours per year. A PhD grant portion is currently (2024) DKK 6.820 before tax. When   you have obtained the MSc degree, you will transfer to the salary-earning part of the scholarship for a period of two years. At that point, the terms of employment and payment will be according to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

Responsibilities   and tasks in both PhD programmes

• Complete and pass the MSc education in accordance with the curriculum of the MSc programme

 (ONLY when you are attending the integrated MSc and PhD programme)

• Carry through an independent research project under supervision
• Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
• Participate in active research environments, including a stay at another research institution, preferably abroad
• Teaching and knowledge dissemination activities
• Write scientific papers aimed at high-impact journals
• Write and defend a PhD thesis on the basis of your project

We are looking for the following qualifications:

• Professional qualifications relevant to the PhD project
• Relevant publications
• Relevant work experience
• Other relevant professional activities
• Curious mind-set with a strong interest in Physics
• Good language skills

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Application and Assessment Procedure

Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.

Please include : 

• Motivated letter of application (max. one page)
• Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
• Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
• Publication list (if possible)
• Reference letters (if available)

Application deadline:

The deadline for applications is 20 October 2024, 23:59 GMT +2 .

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

The further process

After deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.

The assessor will assess the qualifications and experience of the shortlisted applicants   with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models.  The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at   https://employment.ku.dk/faculty/recruitment-process/ .

For specific information about the PhD fellowship, please contact the principal supervisor.

General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website:   https://www.science.ku.dk/phd/ .

The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position. 

Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

Harvard Launches PhD in Quantum Science and Engineering

Program will prepare leaders of the ‘quantum revolution’

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CAMBRIDGE, MA (Monday, April 26, 2021) – Harvard University today announced one of the world’s first PhD programs in Quantum Science and Engineering , a new intellectual discipline at the nexus of physics, chemistry, computer science, and electrical engineering with the promise to profoundly transform the way we acquire, process and communicate information and interact with the world around us.

“This cross-disciplinary PhD program will prepare our students to become the leaders and innovators in the emerging field of quantum science and engineering,” said Emma Dench, dean of the Graduate School of Arts and Sciences and McLean Professor of Ancient and Modern History and of the Classics. “Harvard’s interdisciplinary strength and intellectual resources make it the perfect place for them to develop their ideas, grow as scholars, and make discoveries that will change the world.”

The University is already home to a robust quantum science and engineering research community, organized under the Harvard Quantum Initiative . With the launch of the PhD program, Harvard is making the next needed commitment to provide foundational education for the next generation of innovators and leaders who will push the boundaries of knowledge and transform quantum science and engineering into useful systems, devices, and applications. 

“The new PhD program is designed to equip students with the appropriate experimental and theoretical education that reflects the nuanced intellectual approaches brought by both the sciences and engineering,” said faculty co-director Evelyn Hu , Tarr-Coyne Professor of Applied Physics and of Electrical Engineering at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS). “The core curriculum dramatically reduces the time to basic quantum proficiency for a community of students who will be the future innovators, researchers, and educators in quantum science and engineering.”

“Quantum science and engineering is not just a hybrid of subjects from different disciplines, but an important new area of study in its own right,” said faculty co-director John Doyle , Henry B. Silsbee Professor of Physics. “A PhD program is necessary and foundational to the development of this new discipline.”

“America’s continued success leading the quantum revolution depends on accelerating the next generation of talent,” said Dr. Charles Tahan, assistant director for quantum information science at the White House Office of Science and Technology Policy and director of the National Quantum Coordination Office. “It’s nice to see that a key component of Harvard’s education strategy is optimizing how core quantum-relevant concepts are taught.”

The University is also finalizing plans for the comprehensive renovation of a campus building into a new state-of-the-art quantum hub—a shared resource for the quantum community with instructional and research labs, spaces for seminars and workshops, and places for students, faculty, and visiting researchers and collaborators to meet and convene. Harvard’s quantum headquarters will integrate the educational, research, and translational aspects of the diverse field of quantum science and engineering in an architecturally cohesive way. This critical element of Harvard’s quantum strategy was made possible by generous gifts from Stacey L. and David E. Goel ‘93 and several other alumni.

“Existing technologies are reaching the limit of their capacity and cannot drive the innovation we need for the future, specifically in areas like semiconductors and the life sciences,” said Goel, co-founder and managing general partner of Waltham, Massachusetts-based Matrix Capital Management Company, LP, and one of Harvard’s most ardent supporters. “Quantum is an enabler, providing a multiplier effect on a logarithmic scale. It is a catalyst that drives scientific revolutions and epoch-making paradigm shifts.”

“Harvard is making significant institutional investments in its quantum enterprise and in the creation of a new field,” said Science Division Dean Christopher Stubbs, Samuel C. Moncher Professor of Physics and of Astronomy. Stubbs added that several active searches are underway to broaden Harvard’s faculty strength in this domain, and current faculty are building innovative partnerships with industry around quantum research.

“An incredible foundation has been laid in quantum, and we are now at an inflection point to accelerate that activity,” said SEAS Dean Frank Doyle , John A. and Elizabeth S. Armstrong Professor of Engineering and Applied Sciences.

To enable opportunities to move from basic to applied research to translating ideas into products, Doyle described a vision for “integrated partnerships where we invite partners from the private sector to be embedded on the campus to learn from the researchers in our labs, and where our faculty connect to the private sector and national labs to learn about the cutting-edge applications and to help translate basic research into useful tools for society.”

Harvard will admit the first cohort of PhD candidates in fall 2022 and anticipates enrolling 35 to 40 students in the program. Participating faculty are drawn from physics and chemistry in Harvard’s Division of Science and in applied physics, electrical engineering, and computer science at SEAS.

The Graduate School of Arts and Sciences provides more information on Harvard’s PhD in Quantum Science and Engineering , including the program philosophy, curriculum, and requirements.

Harvard has a long history of leadership in quantum science and engineering. Theoretical physicist and 2005 Nobel laureate Roy Glauber is widely considered the founding father of quantum optics, and 1989 Nobel laureate Norman Ramsey pioneered much of the experimental foundation of quantum science.

Today, Harvard experimental research groups are among the leaders worldwide in areas such as quantum simulations, metrology, and quantum communications and computation, and are complemented by strong theoretical groups in computer science, physics, and chemistry.

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Berkeley Quantum Information & Computation Center

About the group.

Computer Science

PhD in Computer Science

A broad department enables in-depth coursework and research in every area of the discipline, including machine learning, security, robotics, and more.

Work alongside world-class researchers to develop new techniques, cutting-edge systems, and innovative algorithms as you tackle challenging problems with critical impacts across science, technology, and society.

In the PhD in Computer Science program at Columbia Engineering, you’ll find a vibrant, collaborative community of research with broad interests including natural language processing, security and privacy, graphics and user interfaces, computational biology, computer vision, robotics, machine learning, and artificial intelligence. Situated within a large research university, opportunities abound for multidisciplinary work through entities like the Data Science Institute and the Center of Artificial Intelligence Technology. 

Why Earn your PhD in Computer Science at Columbia?

Columbia gives you a rigorous Ivy League education in the heart of a vibrant global city for unmatched opportunities and impact.

As a student, you’ll benefit from:

• New York City Join top talent in one of the world’s most exciting and influential cities. Students choose Columbia Engineering over MIT, Berkeley, and others because of the New York City ecosystem of research and enterprise that can’t be found anywhere else.   
• Broad Research Opportunities Access opportunities across an incredible array of laboratories, centers, and groups including the Data Science Institute , Center of Artificial Intelligence Technology , and the Theory of Computing Group .  
• World-Class Faculty Faculty are accomplished scholars and passionate instructors engaged in cutting-edge, cross-disciplinary research in areas like augmented reality, high throughput genomics, natural language processing, and machine learning.  
• Columbia University With a PhD from Columbia, you’ll join one of the world’s most international, accomplished networks of researchers and alumni. Your Ivy League credential will open doors wherever you go and the relationships you build here will accelerate your career. 

See Full Program Details

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Univ.-Prof. Dr. Harald Pretl

• Science Park 4 - 3 - 0332
• +43 732 2468 4748
• harald.pretl(at)jku.at
• Office Hours: by arrangement
• Univ.-Prof. Dr. Harald Pretl on Google Scholar , opens an external URL in a new window

Research and Development

Current research interests are focused on analog and mixed-signals systems, RF transceivers and RF systems in the microwave and mm-wave frequencies, implemented in a wide range of technologies from nm-CMOS to BiCMOS, wireless sensor networks, ultra-low-power SoC for biomedical and IoT applications, and open-source tools and flows for IC design:

• Advanced receiver and transmitter concepts and implementations for cellular and short-range wireless.

• Ultra-low-power radio-frequency designs for fully autonomous sensor networks and energy harvesting.

• Circuit blocks and RF systems in the mm-wave frequency range for communication and sensing.

• Analog, mixed-signal, and RF building blocks and techniques, ranging from high-performance implementations to ultra-low-power designs in the μW- and nW-regime. • Open-source IC design tools and flows.

Teaching at the JKU Linz

Currently supervising several Ph.D. students in the areas of analog, mixed-signal, and RF circuit design as well as biomedical electronics. Teaching responsibilities at the JKU include the following classes:

• Electronics (bachelor-level course for computer science majors)

• Analog circuit design (bachelor-level course for electronics majors)

• Design of complex integrated circuits (master-level course for electronics majors)

• Radio-frequency integrated circuits (master-level course for electronics majors)

• Seminars for B.Sc., M.Sc., and Ph.D. students

Curriculum Vitae

Dr. techn. degree (Ph. D.-equivalent) Johannes Kepler University, Linz, Austria. The thesis title is “Design of a Zero-IF Receiver for UMTS.”

Dipl.-Ing. degree (M. Sc.-equivalent) in Electrical Engineering with Distinction University of Technology, Graz, Austria. The thesis title is “Monolithic Integrated Down-Conversion Mixer with High Linearity and Low Noise for the 1-GHz Band.”

Professional Experience

Full Professor, Johannes Kepler University Linz Chair of Institute for Integrated Circuits and Quantum Computing

PRETL consult GmbH Founder and general manager

Full Professor, Johannes Kepler University Linz Head of the Integrated Circuits Group

Member of the JKU/SAL IWS Lab

Guest Researcher at IHP Microelectronics Member of the core export group in the project FMD-QNC.

Co-Head of the LIT/SAL mmWave Lab Co-lead of the joint mm-wave research laboratory between Linz Institute of Technology (LIT) and Silicon Austria Labs (SAL). Jobe role encompasses the definition and execution of the research roadmap in the mm-wave regime, and the supervision of the Ph.D. students in the lab.

Cellular RF Architecture, Apple Cellular RF group, Hardware Technologies (HWTech)

Sr. Principal Engineer, Intel Corp. Cellular Radio and Connectivity Group (CRCG), Linz, Austria (DMCE GmbH & Co KG subsidiary) Job role as Chief RF Technologist included working on definition and implementation of cellular (LTEAdvanced and 5G NR) RF transceivers and radio subsystems in nm-CMOS as well as scouting and defining future technology roadmap.

Sr. Principal Engineer, Infineon Technologies RF Department, Linz, Austria (DICE GmbH & Co KG subsidiary) Project manager and group leader working on single-chip RF transceivers for UMTS and GSM in BiCMOS and CMOS technologies.

Researcher at the Institute for Communications Engineering, under supervision by Prof. Robert Weigel.

Professional Service

Associate Editor for Europa and Africa, IEEE Solid-State Circuits Magazine

Expert reviewer for the Israel Science Foundation

Expert reviewer for German Federal Ministry of Education and Research (BMBF)

Member of the Silicon Austria Labs Program Advisory Board

Member of the IEEE SSCS technical committee for the open-source ecosystem (TC-OSE)

IEEE Joint Communication & Sensing Symposium TPC

Austrochip TPC

Expert reviewer for Deutsche Forschungsgemeinschaft (DFG)

Austrochip 2021 Conference Chair

IEEE NEWCAS Track Chair

Intel RF Summit Conference

ISSCC TPC (RF subcommittee)

Reviewer for IEEE Journal of Solid-State Circuits (JSSC), IEEE Microwave and Wireless Components Letters (MWCL), IEEE Transactions on Microwave Theory and Techniques (T-MTT), IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), IEEE Solid-State Circuits Letters (SSC-L), FREQUENZ (DeGruyter), IEEE ISCAS 2021–2023, IEEE NEWCAS 2021, IEEE JC&S 2022–2024, CAE 2023–2024

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Further information.

Memberships

• Senior Member of the IEEE
• Member of the IEEE Solid-State Circuits Society (SSCS), Circuits and Systems Society (CAS), Microwave
• Theory and Techniques Society (MTT)
• Member of the Austrian Electrotechnical Association (OVE)
• Member of the VDE Association for Electrical, Electronic & Information Technologies
• Alumni Advisory Board of the Technical High School in Steyr, Austria

Johannes Kepler University Linz

Altenberger Straße 69

4040 Linz, Austria

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Harvard launches phd in quantum science and engineering.

Harvard University announced today one of the world’s first PhD programs in Quantum Science and Engineering,  a new intellectual discipline at the nexus of physics, chemistry, computer science and electrical engineering with the promise to profoundly transform the way we acquire, process and communicate information and interact with the world around us.

With the launch of the PhD program, Harvard is making the next needed commitment to provide the foundational education for the next generation of innovators and leaders who will push the boundaries of knowledge and transform quantum science and engineering into useful systems, devices and applications. 

"The new PhD program is designed to equip students with the appropriate experimental and theoretical education that reflects the nuanced intellectual approaches brought by both the sciences and engineering," said faculty co-director Evelyn Hu, Tarr-Coyne Professor of Applied Physics and of Electrical at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS). "The core curriculum dramatically reduces the time to basic quantum proficiency for a community of students who will be the future innovators, researchers and educators in quantum science and engineering."

"Quantum science and engineering is not just a hybrid of subjects from different disciplines, but an important new area of study in its own right,” said faculty co-director John Doyle, Henry B. Silsbee Professor of Physics.“A Ph.D. program is necessary and foundational to the development of this new discipline."

The new program lies at the interface of physics, chemistry, and engineering, providing students with exciting opportunities to explore the fundamentals, realizations, and applications of QSE. Students of diverse backgrounds will benefit from an integrated curriculum designed to dramatically reduce the time to basic quantum proficiency and to equip students with experimental and theoretical education that reflects the nuanced intellectual approaches brought by both the sciences and engineering. Students will have the opportunity to work with state-of-the-art experimental and computational facilities. Integrating a new approach to interdisciplinary scholarship, graduates of the program will be prepared for careers in academia, industry, and national laboratories.

Research is a primary focus of the program, with students beginning research rotations in their first year. Extensive mentoring and advising is embedded in the program: graduate students in QSE are part of an academic community that cuts across departments and schools and, as such, are strongly encouraged to pursue cross-disciplinary research. In addition to their research, QSE PhD students will receive training in communication and professional opportunities, such as industry internships.

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