Research, teaching and outreach in Physics at UW–Madison
Quantum Computing
Mark Friesen promoted to Distinguished Scientist
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Mark Friesen
Congratulations to Mark Friesen on his promotion to Distinguished Scientist! The distinguished title is the highest title available to an academic staff member at UW–Madison.
Friesen joined the physics department in 2004 as an associate scientist, and has been with UW–Madison since 1998, when he began a postdoc in the Materials Sciences and Engineering department. His main research effort at UW–Madison has been related to silicon quantum dot quantum computing, in collaboration with physics professors Mark Eriksson, Sue Coppersmith, Bob Joynt, Maxim Vavilov, and others.
Friesen says his most important achievement in the department is serving as a research advisor: In 16 years with UW–Madison physics, he has advised or co-advised six postdocs, 11 Ph.D. theses, four current Ph.D. students, two M.S. theses, and several undergraduate research projects. He also has 123 peer-reviewed publications and five U.S. patents, and serves as a consultant for ColdQuanta, a quantum computing company.
“Mark is known around the world for his expertise in semiconductor-based quantum computing,” Mark Eriksson says. “He is especially well known for his calculations on how the band structure in silicon interacts with interfaces to determine the quantum states for electrons in silicon-based quantum devices.”
Congrats, Mark Friesen, on this well-deserved honor!
Chuanhong (Vincent) Liu named to Fall 2020 cohort of the Quantum Information Science and Engineering Network (QISE-NET)
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Graduate student Chuanhong (Vincent) Liu (McDermott Group) has had his project awarded funding through QISE-NET, the Quantum Information Science and Engineering Network. Run through the University of Chicago, QISE-NET is open to any student pursuing an advanced degree in any field of quantum science. Liu and other students in his cohort earn up to three years of support, including funding, mentoring and training at annual workshops. All awardees are paired with a mentoring QISE company or national lab, at which they will complete part of their projects. Liu describes his project, below. Cecilia Vollbrecht, a grad student in Chemistry, also earned this honor. Both Liu and Volbrecht are students in the Wisconsin Quantum Institute.
The Single Flux Quantum (SFQ) digital logic family has been proposed as a scalable approach for the control of next-generation multiqubit arrays. With NIST’s strong track record in the field of SFQ digital logic and the expertise of McDermott’s lab in the superconducting qubit area, we expect to achieve high fidelity SFQ-based qubit control. The successful completion of this research program will represent a major step forward in the development of a scalable quantum-classical interface, a critical component of a fully error-corrected fault-tolerant quantum computer.
Robert McDermott elected Fellow of the American Physical Society
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Robert McDermott
Congratulations to Prof. Robert McDermott, who was elected a 2020 Fellow of the American Physical Society! He was elected for seminal contributions to quantum computing with superconducting qubits, including elucidating the origins of decoherence mechanisms, and development of new qubit control and readout methods. He was nominated by the Division of Quantum Information.
APS Fellowship is a distinct honor signifying recognition by one’s professional peers for outstanding contributions to physics. Each year, no more than one half of one percent of the Society’s membership is recognized by this honor.
Q-NEXT collaboration awarded National Quantum Initiative funding
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The University of Wisconsin–Madison solidified its standing as a leader in the field of quantum information science when the U.S. Department of Energy (DOE) and the White House announced the Q-NEXT collaboration as a funded Quantum Information Science Research Center through the National Quantum Initiative Act. The five-year, $115 million collaboration was one of five Centers announced today.
Q-NEXT, a next-generation quantum science and engineering collaboration led by the DOE’s Argonne National Laboratory, brings together nearly 100 world-class researchers from three national laboratories, 10 universities including UW–Madison, and 10 leading U.S. technology companies to develop the science and technology to control and distribute quantum information.
“The main goals for Q-NEXT are first to deliver quantum interconnects — to find ways to quantum mechanically connect distant objects,” says Mark Eriksson, the John Bardeen Professor of Physics at UW–Madison and a Q-NEXT thrust lead. “And next, to establish a national resource to both develop and provide pristine materials for quantum science and technology.”
Mark Eriksson
Q-NEXT will focus on three core quantum technologies:
Communication for the transmission of quantum information across long distances using quantum repeaters, enabling the establishment of “unhackable” networks for information transfer
Sensors that achieve unprecedented sensitivities with transformational applications in physics, materials, and life sciences
Processing and utilizing “test beds” both for quantum simulators and future full-stack universal quantum computers with applications in quantum simulations, cryptanalysis, and logistics optimization.
Eriksson is leading the Materials and Integration thrust, one of six Q-NEXT focus areas that features researchers from across the collaboration. This thrust aims to: develop high-coherence materials, including for silicon and superconducting qubits, which is an essential component of preserving entanglement; develop a silicon-based optical quantum memory, which is important in developing a quantum repeater; and improve color-center quantum bits, which are used in both communication and sensing.
“One of the key goals in Materials and Integration is to not just improve the materials but also to improve how you integrate those materials together so that in the end, quantum devices maintain coherence and preserve entanglement,” Eriksson says. “The integration part of the name is really important. You may have a material that on its own is really good at preserving coherence, yet you only make something useful when you integrate materials together.”
“I’m excited about Q-NEXT because of the connections and collaborations it provides to national labs, other universities, and industry partners,” Eriksson says. “When you’re talking about research, it’s those connections that often lead to the breakthroughs.
The potential impacts of Q-NEXT research include the creation of a first-ever National Quantum Devices Database that will promote the development and fabrication of next generation quantum devices as well as the development of the components and systems that enable quantum communications across distances ranging from microns to kilometers.
“This funding helps ensure that the Q-NEXT collaboration will lead the way in future developments in quantum science and engineering,” says Steve Ackerman, UW–Madison vice chancellor for research and graduate education. “Q-NEXT is the epitome of the Wisconsin Idea as we work together to transfer new quantum technologies to the marketplace and support U.S. economic competitiveness in this growing field.”
The Q-NEXT partners
New study expands types of physics, engineering problems that can be solved by quantum computers
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A well-known quantum algorithm that is useful in studying and solving problems in quantum physics can be applied to problems in classical physics, according to a new study in the journal Physical Review A from University of Wisconsin–Madison assistant professor of physics Jeff Parker.
Quantum algorithms – a set of calculations that are run on a quantum computer as opposed to a classical computer – used for solving problems in physics have mainly focused on questions in quantum physics. The new applications include a range of problems common to physics and engineering, and expands on the types of questions that can be asked in those fields.
Jeff Parker
“The reason we like quantum computers is that we think there are quantum algorithms that can solve certain kinds of problems very efficiently in ways that classical computers cannot,” Parker says. “This paper presents a new idea for a type of problem that has not been addressed directly in the literature before, but it can be solved efficiently using these same quantum computer types of algorithms.”
The type of problem Parker was investigating is known as generalized eigenvalue problems, which broadly describe trying to find the fundamental frequencies or modes of a system. Solving them is crucial to understanding common physics and engineering questions, such as the stability of a bridge’s design or, more in line with Parker’s research interests, the stability and efficiency of nuclear fusion reactors.
As the system being studied becomes more and more complex — more components moving throughout three-dimensional space — so does the numerical matrix that describes the problem. A simple eigenvalue problem can be solved with a pencil and paper, but researchers have developed computer algorithms to tackle increasingly complex ones. With the supercomputers available today, more and more difficult physics problems are finding solutions.
“If you want to solve a three-dimensional problem, it can be very complex, with a very complicated geometry,” Parker says. “You can do a lot on today’s supercomputers, but there tends to be a limit. Quantum algorithms may be able to break that limit.”
The specific quantum algorithm that Parker studied in this paper, known as quantum phase estimation, had been previously applied to so-called standard eigenvalue problems. However, no one had shown that they could be applied to the generalized eigenvalue problems that are also common in physics. Generalized eigenvalue problems introduce a second matrix that ups the mathematical complexity.
Parker took the quantum algorithm and extended it to generalized eigenvalue problems. He then looked to see what types of matrices could be used in this problem. If the matrix is sparse — meaning, if most of the numerical components that make it up are zero — it means this problem could be solved efficiently on a quantum computer.
The study shows that quantum algorithms could be applied to classical physics problems, such as nuclear fusion mirror machines. | Credit: Cary Forest
“What I showed is that there are certain types of generalized eigenvalue problems that do lead to a sparse matrix and therefore could be efficiently solved on a quantum computer,” Parker says. “This type includes the very natural problems that often occur in physics and engineering, so this study provides motivation for applying these quantum algorithms more to generalized eigenvalue problems, because it hasn’t been a big focus so far.”
Parker emphasizes that quantum computers are in their infancy, and these classical physics problems are still best approached through classical computer algorithms.
“This study provides a step in showing that the application of a quantum algorithm to classical physics problems can be useful in the future, and the main advance here is it shows very clearly another type of problem to which quantum algorithms can be applied,” Parker says.
The study was completed in collaboration with Ilon Joseph at Lawrence Livermore National Laboratory. Funding support was provided by the U.S. Department of Energy to Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344 and U.S. DOE Office of Fusion Energy Sciences “Quantum Leap for Fusion Energy Sciences” (FWP SCW1680).
UW–Madison named member of new $25 million Midwest quantum science institute
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As joint members of a Midwest quantum science collaboration, the University of Wisconsin–Madison, the University of Illinois at Urbana–Champaign and the University of Chicago have been named partners in a National Science Foundation Quantum Leap Challenge Institute, NSF announced Tuesday.
The five-year, $25 million NSF Quantum Leap Challenge Institute for Hybrid Quantum Architectures and Networks (HQAN) was one of three in this first round of NSF Quantum Leap funding and helps establish the region as a major hub of quantum science. HQAN’s principal investigator, Brian DeMarco, is a professor of physics at UIUC. UW–Madison professor of physics Mark Saffman and University of Chicago engineering professor Hannes Bernien are co-principal investigators.
“HQAN is very much a regional institute that will allow us to accelerate in directions in which we’ve already been headed and to start new collaborative projects between departments at UW–Madison as well as between us, the University of Illinois, and the University of Chicago.” says Saffman, who is also director of the Wisconsin Quantum Institute. “These flagship institutes are being established as part of the National Quantum Initiative Act that was funded by Congress, and it is a recognition of the strength of quantum information research at UW–Madison that we are among the first.”
In a hybrid quantum network, hardware for storing and processing quantum information is linked together. This design could be beneficial for applications that rely on distributed quantum computing resources. | Credit: E. Edwards, IQUIST
Chicago Quantum Exchange, including UW–Madison, welcomes seven new partners in tech, computing and finance, to advance research and training
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The Chicago Quantum Exchange, a growing intellectual hub for the research and development of quantum technology, has added to its community seven new corporate partners in computing, technology and finance that are working to bring about and primed to take advantage of the coming quantum revolution.
These new industry partners are Intel, JPMorgan Chase, Microsoft, Quantum Design, Qubitekk, Rigetti Computing, and Zurich Instruments.
The Chicago Quantum Exchange and its corporate partners advance the science and engineering necessary to build and scale quantum technologies and develop practical applications. The results of their work – precision data from quantum sensors, advanced quantum computers and their algorithms, and securely transmitted information – will transform today’s leading industries. The addition of these partners brings a total of 13 companies into the Chicago Quantum Exchange to work with scientists and engineers at universities and the national laboratories in the region.
“These new corporate partners join a robust collaboration of private and public universities, national laboratories, companies, and non-profit organizations. Together, their efforts — with federal and state support —will enhance the nation’s leading center for quantum information and engineering here in Chicago,” said University of Chicago Provost Ka Yee C. Lee.
“Developing a new technology at nature’s smallest scales requires strong partnerships with complementary expertise and significant resources. The Chicago Quantum Exchange enables us to engage leading experts, facilities and industries from around the world to advance quantum science and engineering,” said David Awschalom, the Liew Family Professor in Molecular Engineering at the University of Chicago, senior scientist at Argonne, and director of the Chicago Quantum Exchange. “Our collaborations with these companies will be crucial to speed discovery, develop quantum applications and prepare a skilled quantum workforce.”
Chicago Quantum Exchange member institutions engage with corporate partners in collaborative research efforts, joint workshops to develop new research directions, and opportunities to train future quantum engineers. The CQE has existing partnerships with Boeing, IBM, Applied Materials, Inc., Cold Quanta, HRL Laboratories, LLC, and Quantum Opus, LLC.
Scientists in Microsoft Quantum Lab Delft conducting research in pursuit of a topologically protected qubit. Microsoft is one of seven new computing, tech and finance companies to join the Chicago Quantum Exchange | Microsoft
The CQE’s newest corporate partners include a broader set of companies ranging in interest and expertise from quantum communication hardware to quantum computing systems and controls to finance and cryptography applications.
They include:
Intel is advancing a systems-level approach to quantum research that demonstrates quantum practicality and a path to commercially viable quantum computing systems. Its research efforts – in partnership with QuTech, the quantum institute of TU Delft and TNO—include technology advancements in silicon spin qubits, control and interconnect systems for large-scale quantum systems, and quantum algorithms.
JPMorgan Chase is a leader in the field of quantum algorithms and applications for financial use cases, such as portfolio optimization, option pricing and reinforcement learning, as well as general foundational algorithms with cross-domain applicability, such as quantum search. The firm has made a significant investment in quantum computing, collaborating with multiple quantum providers and forums. Its research team is also actively working in the area of post-quantum cryptography.
Microsoft has driven advances in scalable quantum technology for nearly two decades. Their global team of physicists, computer and materials scientists, engineers, developers, and enthusiasts are collaborating with a broad community to advance a full-stack quantum computing system, develop practical solutions, enable a quantum community, and accelerate quantum workforce development.
Quantum Design manufactures automated characterization systems that allow research and exploration of new materials & devices. With the partnership, Quantum Design will support research and advanced teaching at the CQE, launching a new student laboratory for quantum measurements and the study of quantum materials.
Qubitekk develops and manufactures a variety of key components for quantum networks. Qubitekk provides entangled photon sources in its support for researchers across the CQE working on the Argonne quantum loop.
Rigetti Computing builds and delivers integrated quantum systems and offers a distinctive hybrid cloud computing access model for practical near-term applications. The company owns and operates Fab-1, the world’s first dedicated quantum integrated circuit foundry.
Zurich Instruments develops advanced instrumentation including quantum control systems that enable reliable control and measurement of superconducting qubits and silicon spin qubits. The company will collaborate with the CQE on student opportunities and research.
Many of the new industry partners already have ongoing or recent engagements with CQE and its member institutions. In recent collaborative research, spectrally entangled photons from a Qubitekk entangled photon source were transported and successfully detected after traveling through one section of the Argonne quantum loop.
Another example of these relationships is the work that University of Chicago computer scientist Fred Chong and his students have done with both Intel and Rigetti Computing on software and hardware solutions. With Intel’s support, Chong’s team invented a range of software techniques to more efficiently execute quantum programs on a coming crop of quantum hardware. For example, they developed methods that take advantage of the hierarchical structure of important quantum circuits that are critical to the future of reliable quantum computation.
Jim Clarke, director of quantum hardware at Intel, looks forward to further collaborations with Chicago Quantum Exchange members.
“Intel remains committed to solving intractable challenges that lie on the path of achieving quantum practicality,” said Clarke. “We’re focusing our research on new qubit technologies and addressing key bottlenecks in their control and connectivity as quantum systems get larger. Our collaborations with members of the Chicago Quantum Exchange will help us harness our collective areas of expertise to contribute to meaningful advances in these areas.”
The Chicago Quantum Exchange’s partnership with JPMorgan Chase will enable the use of quantum computing algorithms and software for secure transactions and high-speed trading.
“We are excited about the transformative impact that quantum computing can have on our industry,” said Marco Pistoia, managing director, head of applied research and engineering at JPMorgan Chase. “Collaborating with the Chicago Quantum Exchange will help us to be among the first to develop cutting-edge quantum algorithms for financial use cases, and experiment with the power of quantum computers on relevant problems, such as portfolio optimization and option pricing.”
Applying quantum science and technology discoveries to areas such as finance, computing and healthcare requires a robust workforce of scientists and engineers. The Chicago Quantum Exchange integrates universities, national laboratories and leading companies to train the next generation of scientists and engineers and to equip those already in the workforce to transition to quantum careers.
“Microsoft is excited to partner with the Chicago Quantum Exchange to accelerate the advancement of quantum computing,” said Chetan Nayak, general manager of Microsoft Quantum Hardware. “It is through these academic and industry partnerships that we’ll be able to scale innovation and develop a workforce ready to harness the incredible impact of this technology.”
Mark Eriksson earns WARF named professorship
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Mark Eriksson has been named the John Bardeen Professor of Physics, through the Wisconsin Alumni Research Foundation (WARF) named professorship program.
The WARF named professorship program provides recognition for distinguished research contributions of the UW–Madison faculty. The awards are intended to honor those faculty who have made major contributions to the advancement of knowledge, primarily through their research endeavors, but also as a result of their teaching and service activities.
Mark Eriksson
Eriksson joined the UW–Madison physics faculty in 1999. His research has focused on quantum computing, semiconductor quantum dots, and nanoscience. He currently leads a multi-university team focused on the development of spin qubits in gate-defined silicon quantum dots. A goal of this work is to enable quantum computers, which manipulate information coherently, to be built using many of the materials and fabrication methods that are the foundation of modern, classical integrated circuits.
“If you look back at my work here over the last, it’ll be 21 years in August, it’s almost all been collaborative, and I’ve really enjoyed the people I’ve worked with,” Eriksson says. “Going into the future, those collaborations are going to continue, of course. We have a real opportunity to see what semiconductor fabrication technology can do for qubits and quantum computing — how can we make really high-quality, silicon qubits in a way that leverages and makes use of the same technology that people use to make classical computer chips?”
Members of the Eriksson Group at a conference in Spain in Fall 2019.
Eriksson’s past and present UW–Madison collaborators include, in addition to many students and postdocs, physics professors Victor Brar, Sue Coppersmith, Bob Joynt, Shimon Kolkowitz, and Robert McDermott; physics senior scientist Mark Friesen; and materials science and engineering professor Max Lagally and scientist Don Savage.
The WARF program asks recipients to choose the name of their professorship. Eriksson, who graduated with a B.S. in physics and mathematics from UW–Madison in 1992, chose fellow alum John Bardeen — a scientist who has the unique honor of being the only person to receive the Nobel Prize in Physics twice.
“Bardeen was one of the inventors of the transistor, and I work with semiconductor qubits which are very similar to transistors in many ways,” Eriksson explains. “It seemed appropriate to choose him, because he was an alum of the university, he’s a Madison native, and he was co-inventor of the transistor.”
Eriksson was one of 11 UW–Madison faculty awarded WARF named professorships this year. The honor comes with $100,000 in research funding over five years.
“Prof. Mark Eriksson is a world-leading expert in the development of quantum information systems using solid-state quantum dot qubits,” says Sridhara Dasu, physics department chair. “Recognition of his successes in research and his contribution to the training of researchers in this increasingly promising area of quantum information, through the awarding of WARF professorship, is much deserved.”
M.S. in Physics-Quantum Computing
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The Department of Physics is adding a new degree program focused on the growing field of quantum computing. The M.S. in Physics-Quantum Computing is a new Master’s program that will admit its first class in the Fall 2019 semester. The program will provide students with a thorough grounding in the new discipline of quantum information and quantum computing.
