基于量子态的动态拓扑变换算法

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper presents a novel dynamic topology transformation algorithm based on quantum state adaptation. Traditional topology transformation algorithms are often static, limiting their efficiency and generalization capabilities. We propose an algorithm that leverages quantum state dynamics to dynamically adjust transformation parameters during optimization, aiming to achieve superior local optima. The core of this approach is the implementation of a quantum-enhanced adaptation mechanism that continuously refines the transformation process, leading to improved solution quality. We demonstrate the effectiveness of this algorithm through a series of illustrative examples, showcasing its ability to overcome limitations of conventional methods. The algorithm's potential impact extends to a wide range of optimization problems, particularly those involving complex geometries and constraints.

DOI: 10.5281/zenodo.22634078

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