基于量子纠缠的全局优化算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel quantum entanglement-based global optimization algorithm, designed to surpass the limitations of traditional optimization methods. The algorithm leverages the inherent correlations within entangled quantum states to achieve a globally optimal solution. We present a detailed conceptual framework, outlining the core mechanism and highlighting the potential for significant computational efficiency gains. The paper explores the theoretical underpinnings of this approach, including the role of entanglement in representing and manipulating solutions, and discusses the challenges and future directions for this groundbreaking optimization technique.

DOI: 10.5281/zenodo.22193291

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