基于量子纠缠的非线性矩阵乘法算法

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel algorithmic framework for matrix multiplication based on the principles of quantum entanglement. Traditional matrix multiplication algorithms are inherently limited by the classical computational resources of computers. We propose a quantum-enhanced approach utilizing quantum entanglement to mitigate these limitations, aiming to improve computational efficiency and stability. The core mechanism involves mapping the matrix elements to entangled states, enabling parallel processing and inherent error correction. This approach offers a promising path towards accelerating matrix operations and potentially revolutionizing certain computational tasks. The paper details the theoretical framework, initial implementation, and preliminary experimental results demonstrating the algorithmic benefits of quantum entanglement in matrix multiplication.

DOI: 10.5281/zenodo.22634261

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