基于动态信息熵的量子系统建模

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper investigates a novel method for quantum system modeling utilizing dynamic information entropy. Traditional approaches often rely on static parameter models, while this research introduces a dynamic entropy evolution framework to provide a more accurate and predictive representation of quantum systems. The core mechanism centers around analyzing the dynamic entropy change to forecast quantum system evolution. This approach offers the potential to enhance the stability and reliability of quantum systems. The study demonstrates the effectiveness of this method through simulations and provides a foundation for future research in quantum control and system design.

DOI: 10.5281/zenodo.22292732

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