Quantum Computing Geometric Modeling

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores the application of quantum computing to geometric modeling, specifically focusing on the design of a dynamic geometry modeling system capable of generating complex geometric shapes automatically. Traditional geometric modeling approaches often rely on predefined rules and limitations, while this research introduces a novel quantum computing-driven approach that dynamically adjusts geometric parameters to achieve complex shapes. We detail the core mechanism – utilizing quantum entanglement and superposition to represent and manipulate geometric data – and present preliminary results demonstrating the system's ability to generate intricate shapes with improved efficiency and adaptability. The paper concludes with a discussion of future research directions and potential impacts on various fields.

DOI: 10.5281/zenodo.22290062

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