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Quantum Artificial Intelligence Laboratory Team Organizes Constraint Solving and Quantum Computing Workshop (QCP2021)
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Quantum Artificial Intelligence Laboratory Team Organizes Constraint Solving and Quantum Computing Workshop (QCP2021)

Members of the Quantum Artificial Intelligence Laboratory (QuAIL) at NASA Ames Research Center, together with a former NASA fellowship holder and QuAIL group member now at IBM, are organizing the Workshop on Constraint Solving and Quantum Computing (QCP2021) as part of the annual International Conference on Principles and Practice of Constraint Programming (CP2021). The workshop will take place on October 25th, 2021, and will bring together researchers interested in exploring the intersection of quantum computing and constraint solving. The event is virtual and free to attend (only online registration is required) and will have a combination of invited speakers and presentations based on submitted abstracts. No prior knowledge in quantum computing is required for attendance!

BACKGROUND: The past decade has brought with it the first commercially available quantum devices, as well as a flurry of research in the area of quantum computing. One area of focus for the quantum community has been on constraint-solving techniques, both classical and quantum. Classical constraint solving techniques have been proposed as a means to solve various important quantum processor problems (such as circuit compilation and gate synthesis). On the other hand, new quantum algorithms have been recently proposed that seek to accelerate existing classical algorithms for solving constraint satisfaction and optimization problems.

PROGRAM FUNDING: NASA and the U.S. Department of Energy (Interagency Agreement IAA SAA2-403602), Office of Science, National Quantum Information Science Research Centers, Superconducting Quantum Materials and Systems Center (SQMS, contract number DE-AC02-07CH11359), and the NASA Advanced Explorations Systems Program. Dr. Kyle Booth is supported by the NASA Academic Mission Services (NAMS, contract number NNA16BD14C); and Dr. Bryan O’Gorman was supported by a NASA Space Technology Research Fellowship and the National Science Foundation (NSF) Quantum Leap Challenges Institute (QLCI) Program (grant number OMA-2016245).

TEAM: Dr. Kyle Booth (main organizer), Dr. Bryan O’Gorman, and Dr. Eleanor Rieffel

POINT OF CONTACT: Kyle Booth, kyle.booth@nasa.gov

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