基于自适应量子态的拓扑拓扑学算法

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper introduces a novel algorithm for topological topological computation, leveraging the inherent quantum state structure to accelerate computational processes. Traditional topological computation methods often struggle with complex problems due to computational limitations. This work proposes a new approach that utilizes quantum state manipulation and optimization to overcome these challenges, offering a pathway towards more efficient and scalable topological computations. The core mechanism centers around a dynamic adjustment of quantum states to achieve a more optimal state, facilitating the exploration of topologically rich spaces. We present a preliminary implementation demonstrating the effectiveness of this algorithm in a simplified, yet illustrative, example. The resulting results suggest a significant improvement over existing methods, particularly for certain topological problem domains.

DOI: 10.5281/zenodo.22153643

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