Zhancheng Yao, Martin Sandberg, et al.
MRS Fall Meeting 2024
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.
Zhancheng Yao, Martin Sandberg, et al.
MRS Fall Meeting 2024
Max Rossmannek, Fabijan Pavošević, et al.
Journal of Physical Chemistry Letters
Zanhe Qi, Atsushi Matsuo, et al.
QCE 2024
Marco Antonio Guimaraes Auad Barroca, Rodrigo Neumann Barros Ferreira, et al.
ACS Fall 2024