Quantum Nonlinear Phase Transition Theory Self-Adaptive Simulation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper presents a novel self-adaptive simulation framework based on quantum nonlinear phase transition theory. The core concept is to integrate quantum mechanics with simulation techniques, enabling dynamic parameter adjustment and improved prediction accuracy. We propose a method utilizing quantum effects to enhance the simulation's fidelity. The research addresses the limitations of traditional simulation approaches by offering a flexible and automated system capable of adapting to complex physical systems. This framework aims to significantly advance the understanding and modeling of phase transition phenomena, providing a more robust and accurate tool for scientific investigation. This work explores the potential of this approach to unlock new insights in various fields, particularly within materials science, fluid dynamics, and thermodynamics.

DOI: 10.5281/zenodo.22271324

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