基于量子纠缠的混沌系统优化

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel algorithm for optimizing chaotic systems based on the principles of quantum entanglement. The core idea is to represent the system's parameters as quantum states and utilize entanglement to dynamically adjust these states, thereby enabling precise control over the chaotic behavior. We explore the potential of this approach to overcome limitations of traditional optimization techniques and provide a new methodology for managing complex chaotic systems. The proposed algorithm demonstrates promising results in optimizing specific chaotic systems, showcasing the potential of quantum mechanics to enhance optimization processes.

DOI: 10.5281/zenodo.22332130

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