基于量子纠缠的动态自适应算法

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper presents a novel dynamic self-adaptive algorithm leveraging the principles of quantum entanglement. Traditional computational methods often struggle with inherent limitations in computational speed and stability. This research introduces a new approach that dynamically adjusts the strength of entangled quantum states, offering a potential pathway to significantly enhance algorithm performance and stability. We detail the theoretical framework, implementation details, and preliminary experimental results demonstrating the efficacy of this method. The core claim centers on the utilization of quantum entanglement to achieve a form of dynamic self-adaptation, offering a distinct advantage over existing approaches.

DOI: 10.5281/zenodo.22314617

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