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[2017-11] November 07-08 Workshop | NASA Workshop on Quantum Computing for Aeroscience and Engineering

NASA Workshop on Quantum Computing for Aeroscience and Engineering

November 7-8, 2017   |   NASA’s Langley Research Center

Lockheed Martin Center for Innovation (“The Lighthouse”)
8000 Harbour View Blvd., Suffolk, VA 23435

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Algorithms and hardware for quantum computing are reaching a critical stage in their development where engineering applications will become almost within reach. A variety of hardware has been developed that have attracted significant interest in making these systems practical for supporting large scale engineering computations. These developments present an extraordinary opportunity to advance computing power. However, utilization of quantum phenomena is extraordinarily challenging due to its delicate nature and difficulty in measurement and control. Success of these computational systems requires strategic coordination between physicists, computer scientists, mathematicians, and engineers for technology transition from the laboratory to robust and scalable computations for practical problems of interest to NASA.

The objective of this workshop is to bring together experts on quantum information science and computation to understand the latest developments and current challenges in algorithms, hardware, and technology transition to engineering applications. The workshop aims to accelerate technology transition towards outstanding engineering problems that are expected to be achievable using quantum computations in the coming decade. The workshop’s goals include developing a roadmap for success towards solution strategies for engineering applications. These applications may include computational materials research, computational fluid dynamics and aerothermodynamics, among others. The agenda will include discussions on the latest advances in scalability, universal logic and error correction with the aim to understand the next set of challenges required to control quantum systems, measure their outputs, and preserve their properties from outside disturbances. The interested stakeholders will present or take part in discussion on challenges to transition the current state-of-the-art to large scale engineering and data science related problems.  Discussions aimed toward technology transition will be focused on the following four areas:

•  Quantum algorithms
•  Quantum computing hardware
•  Manufacturing and control of quantum systems
•  Engineering applications

We envision developing a roadmap that defines the next set of realistic challenges that can be met over the next ∼10-15 years. The workshop will take input from the experts in the field to identify how our current knowledge from physicists, computer scientists, and mathematicians may be transitioned to engineering to guide advances in a broad range of engineering technologies.  In addition, the workshop will help build partnerships across intersections of noted disciplines to guide algorithms and hardware development for applications of interest.

This workshop is co-sponsored by FAMU-FSU College of Engineering.

Agenda

November 7

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November 8

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Organizing Committee

Rupak Biswas
NASA’s Ames Research Center

Peyman Givi
University of Pittsburgh

Travis Humble
Oak Ridge National Laboratory

Yousuff Hussaini
Florida State University
Mujeeb Malik
NASA’s Langley Research Center (Chair)

Joseph Morrison
NASA’s Langley Research Center

William Oates
Florida State University

ABout the Presenters

Timothy Barth is a computational scientist in the NASA Ames Supercomputer Division working under the ARMD Transformative Tools and Technology (T^3) project. His current work includes the development of uncertainty and error propagation methods for high-dimensional stochastic and random
variable problems and the development of applications technology for the D-Wave Quantum Annealing Device as well as future quantum computer hardware. Timothy is a member of the editorial board for the Springer book series Lecture Notes in Computational Science and Engineering (LNCSE) and Textbooks in Computation Science and Engineering (TCSE).

Chief Scientist, NASA Langley Research Center, member, national academy of engineering, honorary fellow AIAA, fellow of ASME and Royal Aeronautical Society, 260 publications, 400 invited lectures, in areas of fluid mechanics, propulsion, systems and revolutionary architectures and configurations, for sea, air and space.

Dr. Jerry M. Chow is the Manager of the Experimental Quantum Computing group at IBM and a Distinguished Research Staff Member. He joined IBM Research in 2010. In 2012 he was recognized in the Forbes 30 under 30 Technology list. Jerry is the Primary Investigator for the IBM team on the IARPA Logical Qubits program since 2015. In 2016 he co-lead the IBM Quantum Experience project, placing a real quantum processor accessible to anyone over the Cloud.

Blake Johnson is the technical lead of Rigetti’s quantum engineering team working to scale-up superconducting qubit systems. He previously worked at Raytheon BBN Technologies for 7 years, and earned a Ph.D in physics under Rob Schoelkopf at Yale. His work includes: the first experimental demonstration of 100x quantum advantage on a machine learning problem, custom hardware to enable dynamic quantum computing, and several novel tomographic methods.

His research focuses on developing new methods for electronic structure and dynamics of atoms and molecules and quantum information and computation for chemistry. He is a former director of the NSF Center for Chemical Innovation, “Quantum Information for Quantum Chemistry” , (2010-2013) and in 2014 edited volume 154 of Advances in Chemical Physics on “Quantum Information and Computation for Chemistry. He has a courtesy professorship appointments in Physics and Computer Science at Purdue, external research professor at Santa Fe Institute, a former director of QEERI theory group (2013-2017), an elected Fellow of APS, AAAS, Guggenheim and received Sigma Xi Research Award in 2012.

David Keyes is the director of the Extreme Computing Research Center at King Abdullah University of Science and Technology, where he was a founding dean in 2009, and an adjunct professor of applied mathematics at Columbia University. Keyes earned his BSE in Aerospace and Mechanical Engineering from Princeton and his PhD in Applied Mathematics from Harvard. He works at the algorithmic interface between parallel computing and the numerical analysis of partial differential equations. He is a Fellow of SIAM and AMS and a recipient of the ACM Gordon Bell Prize, the IEEE Sidney Fernbach Award, and the SIAM Prize for Distinguished Service to the Profession.
Dr. Jeremy Levy is a Distinguished Professor of Condensed Matter Physics at the University of Pittsburgh in the Department of Physics and Astronomy (http://levylab.org), and Founding Director of the Pittsburgh Quantum Institute (http://pqi.org). He received an A.B. degree in physics from Harvard University in 1988, and a Ph.D. degree in physics from UC Santa Barbara in 1993. After a postdoctoral position at UC Santa Barbara, he joined the University of Pittsburgh in 1996. His research interests center around the emerging field of oxide nanoelectronics, experimental and theoretical realizations for quantum computation, semiconductor and oxide spintronics, quantum transport and nanoscale optics, and dynamical phenomena in oxide materials and films. He is a Class of 2015 Vannevar Bush Faculty Fellow, a Fellow of the American Physical Society, a recipient of the 2008 Nano50 Innovator Award, and the NSF Career Award. He has received the University of Pittsburgh’s Chancellor’s Distinguished awards for research (2004, 2011) and teaching (2007).
John Martinis pioneered research on superconducting quantum-bits as a graduate student at U.C. Berkeley. He has worked at CEA France, NIST Boulder, and UC Santa Barbara. In 2014 he was awarded the London Prize for low-temperature physics research on superconducting qubits. In 2014 he joined the Google quantum-AI team, and now heads an effort to build a useful quantum computer.
Christopher Monroe is a leading atomic physicist and quantum information scientist. He demonstrated the first quantum gate in any platform at NIST in the 1990s, and at U. Michigan and U. Maryland he discovered new ways to scale trapped ion qubits and simplify their control with semiconductor chip traps, simplified lasers, and photonic interfaces for long-distance entanglement. He is Co-Founder and Chief Scientist at IonQ in College Park, MD.
Eleanor G. Rieffel leads the Quantum Artificial Intelligence Laboratory at the NASA Ames Research Center. She joined NASA Ames Research Center in 2012 to work on their expanding quantum computing effort, after working at FXPAL where she performed research in diverse fields including quantum computation, applied cryptography, image-based geometric reconstruction of 3D scenes, bioinformatics, video surveillance, and automated control code generation for modular robotics. Her research interests include quantum heuristics, evaluation and utilization of near-term quantum hardware, fundamental resources for quantum computation, quantum error suppression, and applications for quantum computing. She received her Ph.D. in mathematics from the University of California, Los Angeles. She is best known for her 2011 book Quantum Computing: A Gentle Introduction with coauthor Wolfgang Polak and published by MIT press.

Martin Roetteler received a Ph.D. in computer science from University of Karlsruhe, Germany, in 2001. From 2003-2004 he held a post-doc position at the Institute for Quantum Computing in Waterloo, Canada. From 2005 on, he was a Research Staff Member at NEC Laboratories America, Princeton, NJ, where from 2007-2013 he was the leader of NEC’s Quantum IT group. In 2013, Martin joined Microsoft Research in Redmond, WA. He is a Principal Researcher and member of the Quantum Architectures and Computation Group (QuArC). In the past, Martin worked on projects funded by ARO, NSA, the European Union, the German DFG, and was main PI of the IARPA QCS project TORQUE.

Robert Schoelkopf is the Sterling Professor of Applied Physics and Physics at Yale University. A graduate of Princeton University, Schoelkopf earned his Ph.D. at the California Institute of Technology His group is a leader in the development of solid-state quantum bits (qubits) for quantum computing, and the advancement of their performance to practical levels. The Yale team has produced many firsts in the field based on superconducting circuits, including the development of a “quantum bus” for information, and the first demonstrations of quantum algorithms and quantum error correction with integrated circuits. This work has been recognized with several awards, including Joseph F. Keithley Award of the American Physical Society, the Max Planck Forschungspreis, and together with his colleague Michel Devoret, the John Stewart Bell Prize and the Fritz London Memorial Prize. He is a co-founder and the Chief Architect at Quantum Circuits, Inc.
Professor Simmons is the Director of the Centre of Excellence for Quantum Computation and Communication Technology and an Australian Research Council Laureate Fellow. She has pioneered unique technologies internationally to build electronic devices in silicon at the atomic scale. She has won both the Pawsey Medal (2006) and Lyle Medal (2015) from the Australian Academy of Science for outstanding research in physics and was, upon her appointment, one of the youngest fellows of this Academy. She was named Scientist of the Year by the New South Wales Government in 2012 and in 2014 became one of only a few Australians inducted into the American Academy of Arts and Sciences. In 2015 she was awarded the CSIRO Eureka Prize for Leadership in Science and in 2016 the Foresight Institute Feynman Prize in Nanotechnology for her work in ‘the new field of atomic-electronics, which she created’. Based on the demonstrated excellent qubit properties of silicon, in 2017 she established a unique public-private Australian company dedicated to realising a 10-qubit quantum integrated circuit in silicon.
Dr. Rolando Somma is a scientist working at the forefront of quantum information at Los Alamos National Laboratory (LANL). In 2005, Rolando received the LANL Director’s postdoctoral fellowship to conduct work on quantum metrology methods using ion traps, which earned him the 2006 LANL’s Postdoctoral Distinguished Performance award due to his high-profile results and publications. In 2007, Rolando received a postdoctoral fellowship from the Perimeter Institute for Theoretical Physics, Waterloo, Canada. During his time at PI, Rolando collaborated with world-class researchers in the area of quantum information and produced important results on the power of quantum computing models. Rolando has coauthored over 50 publications in peer-reviewed journals that are highly cited, and has given over 50 invited seminars in top institutions and conferences. In 2009 Rolando returned to LANL, and was converted to staff in the Theoretical Division in late 2010. Since then, Rolando has been working extensively in the development of fast quantum methods for diverse problems and in security proofs of quantum cryptography with realistic devices. His pioneering work on quantum information has been reported in the media several times.
Dr. Yepez leads the Quantum Computing Group in the Department of Physics and Astronomy at the University of Hawaii at Manoa. He has been a Principal Investigator in quantum computing and quantum simulation since 1992 for the Air Force Office of Scientific Research. His research includes efficient quantum algorithms for computational physics, experimental analog quantum emulation, quantum information theory, nonlinear physics, classical and quantum turbulence, gauge field theories and computational physics. He is currently investigating strongly-correlated Fermi systems, particularly quantum lattice gas models manifesting Bose-Einstein condensation, spinor superfluidity and superconductivity. Dr. Yepez has served for most of his career as senior research physicist at the Air Force Research Laboratory, a career in the Department of the Air Force that spanned over thirty years (1984-2016). Dr. Yepez received a Doctor of Philosophy in Physics at the College of William and Mary, Master of Arts in Physics at Brandeis University, Bachelor of Science in Electrical Engineering at Auburn University, and Bachelor of Arts in Physics at Rutgers University. Dr. Yepez is also a graduate of the United States Air Force Officer Training School and Squadron Officer School.
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