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Quantum Entanglement for Probabilistic Computation

Jincheng Zhang

Published Sep 7, 2026• 0 citations
Publisher

Abstract

Quantum entanglement, a peculiar phenomenon in quantum mechanics, presents a unique opportunity for computation. This paper explores the potential of utilizing entanglement to develop a probabilistic computation model, aiming to mitigate the limitations of classical computation. We propose a novel approach that leverages the inherent properties of entanglement to enhance the accuracy of complex probability calculations. The core mechanism involves integrating entanglement with probability-based algorithms, thereby reducing the impact of classical error sources. The resulting model offers a promising pathway towards more robust and accurate computations, particularly in scenarios where classical methods struggle.

DOI
10.5281/zenodo.22638191

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