基于动态几何拓扑的自适应量子态生成

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel quantum state generation algorithm based on dynamic geometric topology. Traditional quantum state generation methods typically rely on static parameters, but this approach leverages dynamic geometric topology to generate quantum states with complex topological structures, thereby enhancing quantum computation efficiency. The algorithm employs a series of iterative transformations that map initial quantum states into a complex topological space, resulting in a diverse range of quantum states. We demonstrate the effectiveness of this method through simulations and analysis, showcasing improved quantum state diversity and efficiency compared to existing techniques. The core mechanism centers on the construction and manipulation of topological spaces, enabling the generation of highly intricate and controllable quantum states.

DOI: 10.5281/zenodo.22242147

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