Quantum Hidden Matrix Dynamics: A Dynamic Adjustment Approach

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum Hidden Matrix (QHM) is a cryptographic technique utilizing a matrix-based security system to ensure the integrity of data. However, traditional QHM implementations often rely on static parameters, limiting their security and efficiency. This paper introduces a novel dynamic adjustment approach to QHM, significantly enhancing both security and computational speed. We propose a method for dynamically adjusting matrix parameters, allowing for a more robust and efficient representation of the quantum system. This dynamic adjustment mechanism, built upon a novel optimization algorithm, allows for the creation of QHM matrices capable of resisting various attacks. The research focuses on demonstrating the effectiveness of this approach through theoretical analysis and preliminary experimental validation.

DOI: 10.5281/zenodo.22445028

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