Quantum Entanglement: A Probability Tensor Model

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, presents a significant challenge to classical computational approaches. This paper explores the development of a probabilistic tensor model to represent and simulate the complexities of quantum information processing, aiming to enhance the efficiency of quantum computation. We propose a novel approach utilizing tensor operations to model entanglement measurements, offering a potential pathway to more streamlined and efficient quantum algorithms. The core claim is that the established probabilistic tensor model, when properly implemented, can provide a robust and scalable framework for analyzing and manipulating entanglement, ultimately contributing to increased computational capabilities within the quantum realm.

DOI: 10.5281/zenodo.22503451

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