基于量子纠缠的概率性几何建模

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel probabilistic geometric modeling approach based on quantum entanglement. Traditional geometric modeling relies on classical numerical methods, often struggling to accurately represent complex geometric shapes. This paper proposes a new framework utilizing quantum entanglement to achieve more precise simulations and facilitates quantum computation's probabilistic geometric simulation capabilities. The core mechanism involves establishing a geometric model framework that leverages entanglement to faithfully capture the geometry and allows for the calculation of probabilistic features. The paper concludes with a discussion of the potential advantages and challenges of this approach.

DOI: 10.5281/zenodo.22316232

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