基于动态量子拓扑的自适应控制理论

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel dynamic quantum topological control theory that leverages the inherent dynamics of quantum topology to optimize control algorithms. Traditional control theory often relies on static parameters, limiting the potential for significant performance improvements. This work proposes a framework where the control algorithm is dynamically shaped by the quantum topology, allowing for enhanced efficiency and adaptability. The core mechanism centers around the manipulation of quantum states through a self-consistent evolution, which results in improved control outcomes. We demonstrate the theory's effectiveness through illustrative examples and analyze its potential impact on various control challenges. The resulting system exhibits superior performance compared to traditional methods, establishing a foundation for a new approach to dynamic control.

DOI: 10.5281/zenodo.22465335

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