基于拓扑的量子算法优化器

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel quantum algorithm optimization approach based on topological structures. Traditional optimization methods are often static, limiting efficiency. We propose a system that dynamically adjusts quantum parameters using topological entanglement and tunneling, resulting in significantly improved algorithm efficiency and accuracy. This work explores the potential of leveraging topological principles to enhance the performance of quantum algorithms. The core mechanism centers around the design of a quantum optimization system that exploits these principles. We detail the design of the algorithm, the role of topological entanglement and tunneling, and the resulting improvements in algorithm performance. The research emphasizes the benefits of dynamic parameter adjustment and the potential for enhanced quantum algorithm capabilities.

DOI: 10.5281/zenodo.22327460

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