Jay Gambetta
ACS Spring 2025
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.
Jay Gambetta
ACS Spring 2025
David McKay, Ian Hincks, et al.
arXiv
Izuho Koyasu, Raymond Harry Putra Rudy, et al.
QCE 2023
Youngseok Kim, Andrew Eddins, et al.
APS March Meeting 2023