自适应拓扑变换的基于量子计算的动态调整

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the application of quantum computing to enhance the efficiency of topological transformations. Traditional topological transformations often require computationally intensive and static procedures. This work introduces a novel algorithm leveraging quantum computation to dynamically adjust transformation parameters, offering a pathway for significantly improved computational efficiency in topological analysis. The core mechanism involves utilizing quantum entanglement and superposition to iteratively refine the transformation, ultimately leading to more effective results than conventional methods. We present a framework for dynamically optimizing the transformation process, addressing the limitations of static approaches and demonstrating its potential for accelerating topological research. The proposed algorithm provides a foundation for exploring more complex transformations and potentially uncovering new insights into topological phenomena.

DOI: 10.5281/zenodo.22188482

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