基于量子纠缠的概率论验证与扩展

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper presents a novel probabilistic framework rooted in quantum entanglement, offering a robust and potentially transformative approach to quantum computing verification and broader probabilistic prediction. Traditional probabilistic methods often rely on approximations and assumptions. We introduce a quantum-enhanced probability calculation model predicated on entanglement, aiming to surpass these limitations through enhanced accuracy and the potential for more profound probabilistic insights. The core mechanism involves utilizing entanglement to dynamically adjust the probability distribution, allowing for more precise and nuanced predictions compared to classical approaches. We explore the framework's capabilities through theoretical analysis and preliminary simulation, highlighting its potential to refine existing probability models and open new avenues in uncertainty quantification.

DOI: 10.5281/zenodo.22281175

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