David Peral-garcía, Juan Cruz-Benito, et al.
ICIST 2023
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 Peral-garcía, Juan Cruz-Benito, et al.
ICIST 2023
Daniel Egger, Claudio Gambella, et al.
IEEE TQE
M. Hinderling, S.C. Ten Kate, et al.
PRX Quantum
Pauline Jeanne Ollitrault, Sven Jandura, et al.
Quantum