拓扑信息熵的量子计算优化

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the application of topological information entropy as a novel optimization algorithm for quantum systems. Traditional quantum computing optimization often relies on classical algorithms, but this approach leverages topological information entropy to assess system states and guide parameter optimization, ultimately aiming to enhance quantum computing efficiency. The core mechanism involves quantifying the system's topological structure, which is then used to dynamically adjust quantum system parameters to achieve optimal performance. We introduce a new algorithm, the Topological Optimization Algorithm (TOA), which demonstrates improved performance compared to existing methods in evaluating quantum states and optimizing parameters. This work presents a new method for quantum system optimization, specifically designed for enhanced efficiency through the use of topological information.

DOI: 10.5281/zenodo.22265488

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