基于量子隐形矩阵的复杂系统优化算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel optimization algorithm based on quantum entanglement principles to address complex system optimization problems. The algorithm leverages quantum entanglement to enhance the efficiency of solving intricate optimization tasks, particularly those involving multiple variables and constraints. We demonstrate its effectiveness through a series of rigorous simulations and analyses, highlighting its potential to significantly outperform traditional optimization methods in various real-world scenarios. The core mechanism centers around introducing quantum entanglement during the optimization process, enabling the algorithm to explore a wider solution space and effectively navigate complex landscapes. This work represents a significant advancement in optimization techniques, holding promise for applications across diverse fields.

DOI: 10.5281/zenodo.22198673

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