David McKay, Ian Hincks, et al.
arXiv
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.
David McKay, Ian Hincks, et al.
arXiv
Zhihao Xiao, Archana Kamal, et al.
APS March Meeting 2023
Debasmita Bhoumik, Ritajit Majumdar, et al.
ISVLSI 2024
Luke Govia, David McKay, et al.
APS March Meeting 2024