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Quantum-Enhanced Topological Phase Transition Modeling

Jincheng Zhang

Published Aug 29, 2026• 0 citations
Publisher

Abstract

Quantum-enhanced topological phase transition modeling presents a novel approach to understanding and predicting these complex phenomena. This research focuses on developing a computational framework leveraging quantum algorithms to simulate the evolution of topological order and identify critical points, ultimately providing insights into transition mechanisms and stability. The core mechanism involves applying quantum simulations to explore the interplay between quantum entanglement, topological order, and phase transition dynamics, offering a fundamentally different perspective compared to classical methods. This work seeks to expand the current understanding of topological phase transitions by offering a powerful tool for analysis and prediction. The proposed framework integrates quantum computing with established topological phase transition theory, aiming for improved accuracy and efficiency in modeling these phenomena.

DOI
10.5281/zenodo.22157581

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