基于量子纠缠的自适应搜索算法

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel self-adaptive search algorithm based on quantum entanglement, designed to optimize complex search spaces and significantly enhance search efficiency. Traditional search algorithms often rely on random exploration, limiting their effectiveness. This work leverages the unique properties of quantum entanglement to create a mechanism that facilitates more efficient search operations. The core of this approach involves the manipulation of entangled states to guide the search process, resulting in improved performance across various search scenarios. The paper details the fundamental principles, the proposed algorithm's architecture, and its experimental validation, demonstrating the potential of this method to address limitations in current search techniques.

DOI: 10.5281/zenodo.22523733

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