The Quantum Optimization Benchmarking Library (opens in new tab)

Recent progress has brought benchmarking of (heuristic) quantum algorithms at scale within reach. Particularly in combinatorial optimization, it is key to empirically analyze and track progress towards quantum advantage. This work introduces a systematic, fair and comparable benchmarking framework for quantum optimization methods by presenting ten model-independent problem classes that are challenging for classical methods. Track records of specific instances and solutions are given in an acc...