Multi-Scale Quantum Phase Transition Theory Computational Framework

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel computational framework for studying multi-scale quantum phase transitions, specifically targeting materials science and chemistry. Traditional computational methods struggle to adequately address complex phase transitions due to computational cost and limited resolution. We propose a framework based on established quantum phase transition theory, incorporating advanced algorithms and leveraging quantum computing's potential for enhanced accuracy and scalability. This work establishes a new approach to simulating and predicting these phenomena, offering significant improvements in the ability to model and understand intricate phase transformations. The core mechanism centers around the application of quantum mechanical principles to guide the simulation process, facilitating higher-fidelity predictions. The framework's potential impact spans diverse areas, including understanding phase stability, predicting material properties, and designing novel materials with tailored behavior.

DOI: 10.5281/zenodo.22185094

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