基于量子纠缠的动态概率分布模型

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel dynamic probability distribution model based on quantum entanglement, aiming to precisely model and simulate complex probability distributions. Traditional probabilistic models often rely on handcrafted parameters, limiting their ability to capture intricate behaviors. This research leverages quantum entanglement to dynamically adjust probability distribution parameters, offering a fundamentally new approach to modeling and simulation. The model's core mechanism centers around the manipulation of entangled states to influence the evolution of probability distributions. We present a theoretical framework and initial implementation demonstrating the model's efficacy in simulating scenarios exhibiting complex probabilistic patterns. The proposed framework exhibits significant advantages in accuracy and adaptability compared to existing approaches.

DOI: 10.5281/zenodo.22185624

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