Quantum Entanglement-Based Adaptive Topology Analysis

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel framework for topology analysis leveraging the principles of quantum entanglement. The core idea is to dynamically adjust parameters within a topology analysis process using quantum entanglement to optimize the resulting topological structure. We propose a method where entangled states are used to represent and manipulate the underlying topology, allowing for a more nuanced and efficient exploration of topological phenomena. The potential benefits of this approach lie in its ability to uncover subtle topological features and provide a fundamentally different perspective compared to traditional methods, potentially leading to breakthroughs in understanding complex topological landscapes. This work addresses the limitations of existing approaches and presents a mathematically rigorous framework for adaptive topology analysis.

DOI: 10.5281/zenodo.22267571

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