High-Order Quantum Entanglement Modeling Framework for Adaptive System Simulation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

High-order quantum entanglement offers a unique perspective for modeling complex quantum systems, particularly those exhibiting dynamic behavior. This paper proposes a novel framework for constructing a dynamically adaptive system modeling approach, leveraging the core properties of high-order quantum entanglement to simulate intricate quantum phenomena and facilitate precise predictions and control. The framework emphasizes the ability to model systems exhibiting non-linear dynamics and intricate correlations, surpassing the limitations of traditional quantum simulation methods. This work introduces a method for generating highly detailed, self-consistent models utilizing entanglement-driven evolution, providing a pathway toward enhanced simulation capabilities and control over complex quantum systems. We demonstrate the framework's effectiveness through illustrative examples, showcasing its capacity to capture and predict key dynamical behaviors within a specific, albeit simplified, quantum system.

DOI: 10.5281/zenodo.22264322

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