基于动态拓扑的自适应量子算法

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel quantum algorithm based on dynamic topology, designed to enhance the efficiency and performance of quantum algorithms through adaptive parameter tuning. Traditional quantum algorithms often struggle to optimally address complex problems due to static parameter settings. This work proposes a system that dynamically adjusts quantum parameters to optimize the algorithm's execution, resulting in improved results. We detail the core mechanism of the algorithm, emphasizing the use of a dynamic topology structure and an adaptive parameter adjustment process. The paper explores the potential benefits of this approach in various quantum algorithm contexts, demonstrating improvements through simulations and preliminary analysis. This research contributes to the development of intelligent quantum algorithms capable of tackling complex problems with enhanced efficiency.

DOI: 10.5281/zenodo.22292896

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