自适应量子拓扑的优化算法

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel optimization algorithm based on the principles of quantum topology, designed to dynamically adjust quantum system parameters in response to environmental fluctuations. Traditional optimization methods often rely on predefined algorithms, which limits their adaptability and scalability. This work proposes a framework leveraging the inherent robustness and self-healing properties of quantum topology to achieve efficient quantum computation. The core mechanism involves a self-evolving parameter set that adapts to the surrounding quantum environment, leading to improved performance and robustness. We demonstrate the effectiveness of this algorithm through simulations and analysis, highlighting its potential to overcome limitations of conventional optimization techniques.

DOI: 10.5281/zenodo.22613042

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