Eric Peterson, Lev Bishop, et al.
Quantum
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.
Eric Peterson, Lev Bishop, et al.
Quantum
Aleksandros Sobczyk
ACS Spring 2024
Isis Bou Jaoude, Anna Fischer, et al.
SQD 2024
Marco Antonio Guimaraes Auad Barroca, Rodrigo Neumann Barros Ferreira, et al.
Paraty Quantum Information School and Workshop 2023