Quantum Entanglement-Driven Geometric Shape Validation

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper investigates the potential of quantum entanglement to revolutionize geometric shape validation. Traditional geometric verification methods often rely on classical computation, which can be computationally expensive and prone to errors. We propose a novel algorithm leveraging quantum entanglement to achieve significantly enhanced verification accuracy and robustness. The core mechanism involves creating entangled states that correlate specific geometric properties, allowing for the detection of subtle deviations that classical methods might miss. The algorithm's efficacy is demonstrated through rigorous simulations and preliminary experimental validation, showcasing a potential for enhanced precision and reliability in geometric shape assessment. The core claim focuses on the potential for this algorithm to provide highly accurate geometric validation, surpassing the capabilities of current methods.

DOI: 10.5281/zenodo.22316285

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