Quantum Entanglement Self-Adaptive Topology

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum entanglement offers a novel approach to topology discovery and optimization, potentially surpassing classical methods. This paper introduces a novel algorithm, "Quantum Entanglement Self-Adaptive Topology," leveraging quantum entanglement to automatically uncover and refine topological structures. The core mechanism hinges on simulating quantum entanglement to guide the evolution of a topological landscape, leading to efficient structural analysis and data compression. The algorithm's potential impact spans physical simulations and data compression, offering a paradigm shift in computational paradigms.

DOI: 10.5281/zenodo.22254971

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