Hirsh Kamakari, Mario Motta, et al.
APS March Meeting 2022
Quantum computing is advancing rapidly, and quantum optimization is a promising area of application. Quantum optimization algorithms — whether provably exact, provably approximate or heuristic — offer opportunities to demonstrate quantum advantage. Systematic benchmarking is crucial to guide research, track progress and further advance understanding of quantum optimization. Theoretical research and empirical research using real hardware can complement each other, in the move towards demonstrating quantum advantage.
Hirsh Kamakari, Mario Motta, et al.
APS March Meeting 2022
Federico Balduini, Adolfo Grushin, et al.
APS March Meeting 2024
Zhihao Xiao, Taewan Noh, et al.
APS March Meeting 2023
Theodore Yoder, Eddie Schoute, et al.
QIP 2026