基于量子纠缠的动态概率模型

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the utilization of quantum entanglement to construct a dynamic probability model for complex system simulation and prediction. Traditional probabilistic models often struggle with the inherent complexity and non-linearity of many real-world systems. We propose a novel framework that leverages quantum entanglement to represent and manipulate multiple random variables, enabling more precise and nuanced simulations. The core mechanism centers around integrating multiple random variables into a single quantum state through entanglement, utilizing quantum superposition and entanglement to achieve a more accurate prediction. This work presents a preliminary investigation and outlines future research directions focused on expanding the model's capabilities and validating its effectiveness through simulation.

DOI: 10.5281/zenodo.22639370

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