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Title: Quantum Entanglement-Based Topological Information Analysis Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

Quantum entanglement, a bizarre phenomenon where two particles become linked regardless of distance, has emerged as a promising resource for advanced information processing and quantum technologies. This research explores the application of quantum entanglement to the analysis of topological information, aiming to enhance the accuracy and efficiency of topological information analysis. We propose an algorithm that leverages the unique properties of entangled states to represent and manipulate topological data, offering a novel approach to address limitations inherent in classical methods. The core mechanism centers on exploiting the entanglement to capture the dynamic nature of topological structures, ultimately leading to a more precise understanding of these intricate phenomena. The algorithm utilizes a modified version of the entanglement-induced measurement protocol, where entangled states are manipulated to reveal subtle topological features. This represents a significant step towards a more robust and accurate method for analyzing topological data, potentially unlocking new insights into the underlying physics of these systems. The significance of this work lies in the potential for quantum entanglement to provide a fundamentally different perspective on topological information analysis, offering a pathway to overcoming classical computational constraints and advancing the field.

DOI
10.5281/zenodo.22196032

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