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Quantum Computer Systems for Scientific Discovery

Authors :
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
Source :
PRX Quantum, Vol 2, Iss 1, p 017001 (2021)
Publication Year :
2021
Publisher :
American Physical Society, 2021.

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.

Details

Language :
English
ISSN :
26913399
Volume :
2
Issue :
1
Database :
Directory of Open Access Journals
Journal :
PRX Quantum
Publication Type :
Academic Journal
Accession number :
edsdoj.371e02b88ec147458098d4647a32d784
Document Type :
article
Full Text :
https://doi.org/10.1103/PRXQuantum.2.017001