Yukio Kawashima, Tanvi Gujarati, et al.
ACS Fall 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.
Yukio Kawashima, Tanvi Gujarati, et al.
ACS Fall 2023
Samuele Piccinelli, Francesco Tacchino, et al.
QSim 2025
Isis Bou Jaoude, Anna Fischer, et al.
SQD 2024
Thomas Alexander
QCE 2024