Quantum Entanglement Probability Model and Algorithm

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, presents a significant challenge for classical computation. However, the phenomenon of entanglement has been harnessed to develop novel quantum algorithms and computational paradigms. This paper explores a novel probabilistic model for quantum entanglement, aiming to surpass the limitations of traditional approaches. We propose a model that explicitly incorporates the probability distribution inherent in entangled states, facilitating more accurate simulations and optimization of complex quantum algorithms, particularly within the realms of quantum computing and information processing. The core mechanism relies on the application of quantum entanglement probability to guide the execution of quantum operations. This approach offers a potential pathway to enhance the efficiency and robustness of quantum computations. This work presents a new theoretical framework and preliminary experimental investigations to validate its effectiveness.

DOI: 10.5281/zenodo.22493074

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