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Quantum Computer Systems for Scientific Discovery

Alexeev, Yuri and Bacon, Dave and Brown, Kenneth R. and Calderbank, Robert and Carr, Lincoln D. and Chong, Frederic T. and DeMarco, Brian and Englund, Dirk and Farhi, Edward and Fefferman, Bill and Gorshkov, Alexey V. and Houck, Andrew and Kim, Jungsang and Kimmel, Shelby and Lange, Michael and Lloyd, Seth and Lukin, Mikhail D. and Maslov, Dmitri and Maunz, Peter and Monroe, Christopher and Preskill, John and Roetteler, Martin and Savage, Martin J. and Thompson, Jeff (2021) Quantum Computer Systems for Scientific Discovery. PRX Quantum, 2 (1). Art. No. 017001. ISSN 2691-3399. doi:10.1103/prxquantum.2.017001.

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The great promise of quantum computers comes with the dual challenges of building them and finding their useful applications. We argue that these two challenges should be considered together, by codesigning full-stack quantum computer systems along with their applications in order to hasten their development and potential for scientific discovery. In this context, we identify scientific and community needs, opportunities, a sampling of a few use case studies, and significant challenges for the development of quantum computers for science over the next 2–10 years. This document is written by a community of university, national laboratory, and industrial researchers in the field of Quantum Information Science and Technology, and is based on a summary from a U.S. National Science Foundation workshop on Quantum Computing held on October 21–22, 2019 in Alexandria, VA.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Alexeev, Yuri0000-0001-5066-2254
Brown, Kenneth R.0000-0001-7716-1425
Calderbank, Robert0000-0003-2084-9717
Carr, Lincoln D.0000-0002-4848-7941
Chong, Frederic T.0000-0001-9282-4645
Englund, Dirk0000-0002-1043-3489
Fefferman, Bill0000-0002-9627-0210
Gorshkov, Alexey V.0000-0003-0509-3421
Kimmel, Shelby0000-0003-0726-4167
Lukin, Mikhail D.0000-0002-8658-1007
Maslov, Dmitri0000-0001-7381-4556
Preskill, John0000-0002-2421-4762
Savage, Martin J.0000-0001-6502-7106
Additional Information:© 2021 The Author(s). Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. (Received 4 February 2020; accepted 21 October 2020; published 24 February 2021) We acknowledge useful discussions with Jay Lowell (Boeing, Inc.), David Wineland (University of Oregon), Umesh Vazirani (University of California, Berkeley), and Abhinav Deshpande (University of Maryland). The participants are thankful to Ms. Samantha Suplee (University of Maryland) for the organization of the workshop. This work is supported by the U.S. National Science Foundation and based on a summary of an NSF Convergence Accelerator Workshop on “Scalable Quantum Computing Laboratories” held on October 21–22, 2019 in Alexandria, VA. It complements and supports parallel goals of two recent related NSF Convergence Accelerator Workshops: “Quantum Simulators: Architectures and Opportunities” in the area of quantum simulation [9] and “Quantum Interconnects” in the area of quantum communication [10]. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Commerce, the U.S. Department of Energy, or the U.S. Government.
Group:Institute for Quantum Information and Matter
Funding AgencyGrant Number
Issue or Number:1
Record Number:CaltechAUTHORS:20210514-140222766
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:109140
Deposited By: George Porter
Deposited On:14 May 2021 21:23
Last Modified:16 Nov 2021 19:34

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