基于量子纠缠的动态拓扑映射

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel dynamic topology mapping framework leveraging quantum entanglement to simulate complex topological phenomena with enhanced data analysis accuracy. Traditional topology mapping algorithms rely on classical computational methods, limiting their ability to accurately model intricate structures. We propose a quantum entanglement-driven approach, dynamically adjusting entanglement strength to mimic the evolution of topological landscapes. This method offers a significant improvement in simulation fidelity and provides a pathway to more precise data analysis in areas such as materials science and bioinformatics. The core mechanism centers on the controlled manipulation of quantum entanglement, allowing for a more detailed and nuanced exploration of topological structures. The research demonstrates the effectiveness of this framework through simulations of various topological phases, highlighting its potential for advancing data analysis techniques.

DOI: 10.5281/zenodo.22314627

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