Luke Govia, David McKay, et al.
APS March Meeting 2024
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.
Luke Govia, David McKay, et al.
APS March Meeting 2024
Zhihao Xiao, Taewan Noh, et al.
APS March Meeting 2023
Chong Hian Chee, Adrian Mak, et al.
APS March Meeting 2024
Ismail Akhalwaya, Shashanka Ubaru, et al.
ICLR 2024