Quantum Entanglement Topological Structure Prediction

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the potential of utilizing quantum entanglement to enhance topological structure prediction. Traditional methods often rely on geometric representations, limiting the precision of structure analysis. Quantum entanglement offers a fundamentally different approach, enabling the simulation of complex correlations and potentially leading to more accurate predictions of topological stability. We introduce a novel algorithm predicated on manipulating entangled states to discern patterns indicative of stable topological structures. The core mechanism involves constructing an entangled state that reflects the inherent properties of the underlying topology, allowing for the identification of potential vulnerabilities and ensuring increased predictive accuracy. The research explores the design of a specific entanglement-based framework that surpasses the limitations of existing techniques. We analyze the algorithm's performance through simulations and demonstrate its effectiveness in predicting the stability of various topological systems. This work contributes to the advancement of topological data analysis by leveraging the unique properties of quantum entanglement.

DOI: 10.5281/zenodo.22184530

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