Quantum Entanglement-Based Adaptive Topology Structure Recognition

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel algorithm for the recognition of topological structures based on quantum entanglement, leveraging a novel computational framework to simulate complex physical phenomena with unprecedented accuracy and speed. Traditional computational methods struggle to effectively model intricate physical scenarios. This work proposes a fundamentally new approach to topology recognition utilizing quantum entanglement, offering a potential paradigm shift in computational capabilities. The core mechanism centers on mapping a computational process into a quantum entanglement-based computation, achieving enhanced simulation and calculation efficiency. This approach promises to overcome limitations of existing methods, particularly in the modeling of complex physical systems. The paper details the algorithm's architecture, demonstrates its effectiveness through simulations, and explores potential applications across various fields.

DOI: 10.5281/zenodo.22303020

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