Quantum Entanglement as a Probability Framework

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum entanglement, a peculiar phenomenon where two or more particles become correlated in such a way that their fates are intertwined, presents a significant challenge and opportunity in the realm of quantum information processing. This paper explores the potential of building a probabilistic framework based on quantum entanglement to deepen our understanding of quantum computation and algorithm efficiency. We propose a novel approach that models quantum processes as dynamic states influenced by entanglement, utilizing entanglement to simulate quantum system behavior and designing optimization algorithms centered around this entangled structure. The core claim is that this framework provides a more fundamental and nuanced probabilistic model than existing classical probability methods, offering a richer perspective on the intricacies of quantum mechanics.

DOI: 10.5281/zenodo.22222383

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