Quantum Computer Systems for Scientific Discovery
Author(s)
Alexeev, Yuri; Bacon, Dave; Brown, Kenneth R; Calderbank, Robert; Carr, Lincoln D; Chong, Frederic T; DeMarco, Brian; Englund, Dirk R.; Farhi, Edward; Fefferman, Bill; Gorshkov, Alexey V; Houck, Andrew; Kim, Jungsang; Kimmel, Shelby; Lange, Michael; Lloyd, Seth; Lukin, Mikhail D; Maslov, Dmitri; Maunz, Peter; Monroe, Christopher; Preskill, John; Roetteler, Martin; Savage, Martin J; Thompson, Jeff; ... Show more Show less
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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.
Date issued
2021Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Department of Physics; Massachusetts Institute of Technology. Department of Mechanical EngineeringJournal
PRX Quantum
Publisher
American Physical Society (APS)
Citation
Alexeev, Yuri, Bacon, Dave, Brown, Kenneth R, Calderbank, Robert, Carr, Lincoln D et al. 2021. "Quantum Computer Systems for Scientific Discovery." PRX Quantum, 2 (1).
Version: Final published version