基于量子纠缠的矩阵运算的动态计算

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates the potential of quantum entanglement to revolutionize matrix operations, proposing a dynamic computational method leveraging entangled states for significantly faster calculations. Traditional matrix operations are often computationally intensive, limiting their applicability in certain fields. This research introduces a novel approach that harnesses the inherent properties of quantum entanglement to optimize matrix calculations, potentially revealing underlying mathematical patterns and offering substantial performance gains. The core mechanism involves dynamically adjusting entanglement parameters to achieve a more efficient computation process. The paper examines the theoretical foundations, experimental validation, and potential future directions of this research.

DOI: 10.5281/zenodo.22617853

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