A quantum simulation algorithm for continuous optimization
Anna Ouskova Leonteva, Ulviya Abdulkarimova, T. M. Wintermantel, Anne Jeannin‐Girardon, Pierre Parrend, Pierre Collet · 2020
This paper presents a novel multi-threaded quantum inspired optimization algorithm targeted at global search in continuous domains. The proposed approach is based on a Diffusion Monte Carlo (DMC) physical model and is characterized by a set of parallel quantum walk processes. The effectiveness of the proposed algorithm is demonstrated by experimental results on the 24 noiseless functions from the Black Box Optimization Benchmark of the Comparing Continuous Optimization benchmarking platform (COCO).