Litcius/Paper detail

Quantum Computer Systems for Scientific Discovery

Yuri Alexeev, Dave Bacon, Kenneth R. Brown, Robert Calderbank, Lincoln D. Carr, Frederic T. Chong, Brian DeMarco, Dirk Englund, Edward Farhi, Bill Fefferman, Alexey V. Gorshkov, Andrew Houck, Jungsang Kim, Shelby Kimmel, Michael Lange, Seth Lloyd, Mikhail D. Lukin, Dmitri Maslov, Peter Maunz, Christopher Monroe, John Preskill, Martin Roetteler, Martin J. Savage, Jeff Thompson

2021PRX Quantum238 citationsDOIOpen Access PDF

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.

Topics & Concepts

Scientific discoveryComputer scienceQuantum computerQuantumOrder (exchange)Dual (grammatical number)Quantum informationData scienceQuantum information scienceScheme (mathematics)Quantum systemQuantum Computing Algorithms and ArchitectureQuantum Mechanics and ApplicationsQuantum Information and Cryptography