Basic Research Needs in Quantum Computing and Networking

Technical Report · Tue Jul 11 04:00:00 EDT 2023

DOI:https://doi.org/10.2172/2001044· OSTI ID:2001044

Broz, Joe ^[1]; Byrd, Mark ^[2]; Chembo, Yanne ^[3]; de Jong, Bert ^[4]; Figueroa, Eden ^[5]; Humble, Travis ^[6]; Larson, Jeffrey ^[7]; Lougovski, Pavel ^[8]; Parekh, Ojas ^[9]; Quiroz, Greg ^[10]; Svore, Krysta ^[11]

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1. International Business Machines Corp., Armonk, NY (United States)
2. Southern Illinois Univ., Carbondale, IL (United States)
3. Univ. of Maryland, College Park, MD (United States)
4. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
5. Stony Brook Univ., NY (United States)
6. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
7. Argonne National Laboratory (ANL), Argonne, IL (United States)
8. Amazon Web Services, Seattle, WA (United States)
9. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
10. Johns Hopkins Univ., Baltimore, MD (United States)
11. Microsoft Corporation, Redmond, WA (United States)

Employing quantum mechanical resources in computing, information processing, and networking opens the door to potential exponential advantages over classical counterparts. However, quantifying and realizing such advantages poses extensive scientific and engineering challenges. Department of Energy (DOE) investments have driven steady progress in addressing such challenges. Recently developed quantum algorithms offer asymptotic exponential advantages in speed or accuracy for fundamental scientific problems. These problems include simulating physical systems, solving systems of linear equations, differential equations, and optimization problems. Empirical demonstrations on nascent quantum hardware suggest better performance on contrived computational tasks than classical analogs. However, the requirements for a quantum computer or network to demonstrate an end-to-end rigorously quantifiable performance improvement over classical analogs remains a grand challenge, especially for problems of practical value. In particular, what will be required for quantum technology to ultimately exhibit scalable, rigorous, and transformative performance advantages for practical applications? In July 2023, DOE’s Advanced Scientific Computing Research program in the Office of Science convened the Workshop on Basic Research Needs in Quantum Computing and Networking, where major opportunities and grand challenges were identified. The following five priority research directions (PRDs) were identified as a result of the workshop.

• Research Organization: US Department of Energy (USDOE), Washington, DC (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• OSTI ID: 2001044
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
97 MATHEMATICS AND COMPUTING