Title: Quantum Entanglement-Based Topological Information Extraction Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel algorithm for topological information extraction based on quantum entanglement. Traditional methods often struggle with complex topological structures due to computational complexity and the need for extensive mapping. This algorithm leverages the unique properties of quantum entanglement to directly extract relevant information from these structures, offering a potentially transformative approach to data analysis and representation. The core mechanism involves constructing a specialized quantum state representation that encapsulates the topological information, allowing for efficient and accurate extraction via mathematical transformations. The algorithm demonstrates its efficacy through theoretical analysis and preliminary experimental validation, highlighting its potential to unlock new insights from topological data. This research explores the fundamental principles behind this approach and investigates its capacity to address limitations of existing topological information extraction techniques.

DOI: 10.5281/zenodo.22201246

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