Quantum Computer Systems for Scientific Discovery
- Creators
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Alexeev, Yuri
- Bacon, Dave
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Brown, Kenneth R.
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Calderbank, Robert
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Carr, Lincoln D.
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Chong, Frederic T.
- DeMarco, Brian
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Englund, Dirk
- Farhi, Edward
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Fefferman, Bill
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Gorshkov, Alexey V.
- Houck, Andrew
- Kim, Jungsang
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Kimmel, Shelby
- Lange, Michael
- Lloyd, Seth
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Lukin, Mikhail D.
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Maslov, Dmitri
- Maunz, Peter
- Monroe, Christopher
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Preskill, John
- Roetteler, Martin
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Savage, Martin J.
- Thompson, Jeff
Abstract
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.
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.Attached Files
Published - PRXQuantum.2.017001.pdf
Submitted - 1912.07577.pdf
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Additional details
- Eprint ID
- 109140
- Resolver ID
- CaltechAUTHORS:20210514-140222766
- NSF
- Created
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2021-05-14Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
- Caltech groups
- Institute for Quantum Information and Matter