自适应自组察算法的量子纠缠模型

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum entanglement, utilizing a dynamically adaptive self-associating algorithm (DSA). We explore the potential of DSA to enhance the efficiency of distributed computing and data transmission by exploiting the inherent self-adaptative properties of quantum entanglement. The core mechanism focuses on adjusting entanglement parameters to optimize computational and data transfer processes. This research investigates the benefits of dynamically evolving entanglement configurations, offering a promising pathway towards more robust and efficient quantum information processing. The paper details the DSA framework, its mathematical foundation, and a preliminary analysis of its performance compared to existing entanglement models. We conclude with a discussion of future research directions and potential applications within quantum information theory.

DOI: 10.5281/zenodo.22329663

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