Mirko Amico, David McKay, et al.
APS March Meeting 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.
Mirko Amico, David McKay, et al.
APS March Meeting 2023
Marco Antonio Guimaraes Auad Barroca, Rodrigo Neumann Barros Ferreira, et al.
ACS Fall 2024
Stefano Mensa, Emre Sahin, et al.
Machine Learning: Science and Tech.
Debasmita Bhoumik, Ritajit Majumdar, et al.
ISVLSI 2024