基于量子纠缠的算法复杂度分析

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the potential of leveraging quantum entanglement to enhance algorithm complexity analysis, specifically focusing on providing guidance for algorithm design, particularly within the context of quantum computing. We propose a novel approach that utilizes entanglement to represent and analyze computational states, enabling the identification of subtle optimization opportunities. The core mechanism involves a dynamic mapping of the algorithm's state space, leveraging entanglement to reveal patterns and correlations that would be difficult to identify through classical methods. We demonstrate the effectiveness of this method through a simplified example, showcasing its ability to uncover previously unnoticed efficiency bottlenecks. The implications of this research are significant, offering a potentially transformative tool for algorithm optimization and quantum algorithm design.

DOI: 10.5281/zenodo.22444163

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