Multiscale quantum harmonic oscillator optimization algorithm with multiple quantum perturbations for numerical optimization

作者：

Highlights：

• An improved diffusion Monte Carlo process with less computational cost is proposed.

• The multiple perturbations are introduced to improve the Monte Carlo process.

• The efficiency of annealing process has been greatly improved.

摘要

•An improved diffusion Monte Carlo process with less computational cost is proposed.•The multiple perturbations are introduced to improve the Monte Carlo process.•The efficiency of annealing process has been greatly improved.

论文关键词：Quantum-inspired algorithm,Time-dependent Schrödinger equation,Numerical optimization,Multiple quantum perturbations

论文评审过程：Received 17 September 2020, Revised 9 June 2021, Accepted 12 July 2021, Available online 20 July 2021, Version of Record 23 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115615