Title: Quantum Entanglement-Based Complex System Dynamics Modeling Framework

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper presents a novel framework for complex system dynamics modeling, leveraging the unique properties of quantum entanglement to achieve significantly enhanced simulation efficiency and predictive accuracy. Traditional methods often struggle with computational limitations when modeling complex systems, while quantum entanglement offers a potential solution for accelerating these simulations. We propose a framework centered around quantum entanglement as a computational unit, meticulously designed to effectively simulate system evolution and exploit entanglement effects for accelerated computations. The core mechanism involves constructing a dynamic system model utilizing entangled qubit states, allowing for parallel processing and a more accurate representation of system behavior. This research explores the practical implications of this approach, detailing its design, implementation, and preliminary results demonstrating improved simulation speed and predictive capabilities compared to existing methods.

DOI: 10.5281/zenodo.22331998

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