Information Entropy and Quantum State Dynamic Matching

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates a novel dynamic matching algorithm based on information entropy and quantum state dynamics. The core mechanism leverages the inherent uncertainty and complexity of quantum states to optimize quantum system design and control. Traditional approaches rely on static parameter settings, while this algorithm offers a more precise and adaptive optimization process. The research explores the potential applications of this approach in diverse quantum systems, highlighting its advantages in generating novel and controllable quantum states. The investigation centers on the use of information entropy to guide the search for optimal configurations.

DOI: 10.5281/zenodo.22204997

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