基于量子势场的非线性优化算法

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper presents a novel non-linear optimization algorithm based on quantum fields, designed to address complex optimization problems. Traditional optimization methods often rely on classical computation, while this approach leverages the unique properties of quantum fields to facilitate efficient optimization. The core mechanism involves simulating the system's potential function using quantum fields and employing a specific optimization strategy predicated on these field properties. This work introduces a new algorithm that demonstrates potential improvements in performance compared to existing classical and hybrid approaches, particularly in scenarios involving high-dimensional spaces and complex objective functions.

DOI: 10.5281/zenodo.22266009

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