基于量子纠缠的复杂系统优化

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel optimization method based on quantum entanglement, offering a paradigm shift in tackling complex systems. We propose a framework that leverages the dynamic nature of entangled states to dynamically adjust parameters and achieve enhanced optimization efficiency. Traditional optimization approaches often rely on static parameter settings, while our method exploits the inherent non-linearity of entangled states. The core mechanism centers around utilizing the quantum state's inherent responsiveness to perturbations to guide the optimization process. This work demonstrates the potential for significant improvements in optimization performance through the application of quantum entanglement principles. We present a preliminary analysis and discuss the implications of this approach for various complex systems.

DOI: 10.5281/zenodo.22295968

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