Towards Robust Benchmarking of Quantum Optimization Algorithms
Towards Robust Benchmarking of Quantum Optimization Algorithms
Benchmarking the performance of quantum optimization algorithms is crucial for identifying utility for industry-relevant use cases. Benchmarking processes vary between optimization applications and depend on user-specified goals. The heuristic nature of quantum algorithms poses challenges, especially when comparing to classical counterparts. A key problem in existing benchmarking frameworks is the …