基于动态拓扑的量子算法优化框架

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper presents a novel quantum algorithm optimization framework based on dynamic topology. Traditional quantum algorithm optimization often relies on static approaches, limiting the potential for significant performance improvements. We introduce a dynamic topology optimization algorithm that dynamically adjusts the quantum algorithm's topology during the optimization process. This adaptation allows the algorithm to exploit inherent quantum properties, leading to enhanced efficiency and precision. The core mechanism involves modifying the quantum gate structure and parameters, leveraging the inherent quantum properties to guide the search space and achieve optimal solutions. The proposed framework demonstrates significant improvements in several benchmark quantum algorithms, highlighting its potential to revolutionize quantum algorithm design.

DOI: 10.5281/zenodo.22157649

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