Quantum Computer Systems for Scientific Discovery

• Main Authors: Alexeev, Yuri (Author), Bacon, Dave (Author), Brown, Kenneth R (Author), Calderbank, Robert (Author), Carr, Lincoln D (Author), Chong, Frederic T (Author), DeMarco, Brian (Author), Englund, Dirk R. (Author), Farhi, Edward (Author), Fefferman, Bill (Author), Gorshkov, Alexey V (Author), Houck, Andrew (Author), Kim, Jungsang (Author), Kimmel, Shelby (Author), Lange, Michael (Author), Lloyd, Seth (Author), Lukin, Mikhail D (Author), Maslov, Dmitri (Author), Maunz, Peter (Author), Monroe, Christopher (Author), Preskill, John (Author), Roetteler, Martin (Author), Savage, Martin J (Author), Thompson, Jeff (Author)
• Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Department of Physics (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
• Format: Article
• Language: English
• Published: American Physical Society (APS), 2022-01-11T16:33:08Z.
• Subjects: Article
• Online Access: Get fulltext

 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.