基于动态矩阵的非线性系统动力学验证

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel method for validating quantum computation algorithms using dynamic matrix verification. Traditional validation methods rely on manual parameter adjustment, often proving inadequate for complex, dynamic systems. This paper proposes a dynamic matrix approach that automatically adjusts verification parameters based on system state, offering a more intelligent and automated validation process. We demonstrate the effectiveness of this method through a series of illustrative examples, showcasing its ability to significantly improve the accuracy and efficiency of quantum algorithm verification. The core mechanism focuses on dynamically updating the matrix to ensure the algorithm's correctness through a continuous, adaptive verification cycle. We explore the advantages and challenges of this approach, emphasizing its potential to surpass traditional simulation-based validation methods.

DOI: 10.5281/zenodo.22267427

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