A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers

Abstract

Solving larger-sized problems is an important area of research in quantum computing. Designing hybrid quantumclassical algorithms is a promising approach to solving this. We discuss decomposition-based hybrid approaches for solving optimization problems and demonstrate them for applications related to community detection.