Quantum Entanglement Probability Matrix: A Novel Non-Linear Modeling Approach

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, presents unique challenges for optimization in quantum computing and quantum communication. Traditional optimization algorithms often struggle to accurately represent and leverage the complex dynamics of entangled systems. This paper introduces a novel non-linear modeling approach based on a quantum entanglement probability matrix, aiming to provide a more precise and efficient framework for quantum system optimization. The model dynamically adjusts the probability matrix to simulate quantum entanglement behavior, offering enhanced capabilities in optimizing complex quantum systems. The development of this method addresses limitations in current optimization techniques, particularly in capturing the intricacies of entanglement, and represents a significant step toward advancing quantum algorithms and communication protocols.

DOI: 10.5281/zenodo.22289577

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