基于量子隐冲突的全局优化算法

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper presents a novel approach to global optimization utilizing a quantum entanglement-based algorithm. Traditional optimization techniques often struggle with the impact of local optima, potentially hindering the search for the global optimum. We introduce a quantum entanglement-driven algorithm that leverages the unique properties of quantum entanglement to enhance the search process, reducing computational complexity and improving robustness. The core mechanism involves strategically manipulating entanglement to guide the search towards promising regions of the solution space. This paper details the algorithm's design, implementation, and preliminary results, demonstrating its potential for significantly improved performance in complex optimization problems. The core claim is that this quantum entanglement-based algorithm offers a substantial improvement over existing methods in terms of accuracy and computational efficiency.

DOI: 10.5281/zenodo.22638162

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