Quantum State Adaptive Model

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel quantum state adaptive model, leveraging the dynamic evolution of quantum states to simulate system behavior and predict system outcomes. The model aims to enhance prediction accuracy and system stability by employing a dynamic, self-adjusting approach. We detail the model's core mechanisms, emphasizing the application of quantum state transformations to represent and analyze system dynamics. This approach offers a fundamentally different paradigm for simulating complex systems, potentially surpassing the limitations of classical models. The paper provides a comprehensive exploration of the model's design, implementation, and preliminary results, demonstrating its potential for improved prediction and stability in various applications.

DOI: 10.5281/zenodo.22512613

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