Quantum Entanglement and Probability Models: A Precise Distribution Modeling Approach

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers a unique opportunity to enhance probability distribution modeling. This paper explores the integration of quantum entanglement with probabilistic models to achieve a more precise understanding and prediction of complex system behavior. We propose a novel approach that leverages quantum entanglement to enhance measurement precision and consequently improve the accuracy of probabilistic models. The core claim centers on the establishment of a precise distribution modeling framework, offering a significant advancement over traditional approaches.

DOI: 10.5281/zenodo.22200476

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