基于量子自适应的矩阵的动态调整算法

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel dynamic matrix adjustment algorithm based on quantum self-adaptation. Traditional matrix computations are often limited by classical algorithms, and this algorithm leverages quantum self-adaptation to dynamically adjust parameters during matrix operations, leading to enhanced computational efficiency and stability. The algorithm utilizes quantum entanglement and superposition to achieve this adaptation, significantly reducing computational complexity and improving the accuracy of matrix calculations. We detail the core mechanism, including the quantum self-adaptation process, the implementation of the dynamic adjustment algorithm, and a preliminary analysis of its performance. The paper concludes with a discussion of the potential applications and future research directions within this field.

DOI: 10.5281/zenodo.22291063

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