Dynamic Geometry & Quantum Computing Integration

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper explores the integration of dynamic geometry structures and quantum computing to achieve enhanced geometric modeling and computation. The core claim posits the design of an algorithm leveraging the strengths of both fields, specifically utilizing quantum computing for precise geometric representation and optimization. Existing quantum algorithms often rely on classical computation, limiting their potential for significant advancement. This research investigates a novel approach that synthesizes the inherent properties of geometric structures with the computational power of quantum mechanics, aiming to address limitations in current geometric modeling techniques. The paper details the core mechanism of this integration, outlining the key steps and mathematical foundations. The paper concludes with a discussion of future research directions and potential applications.

DOI: 10.5281/zenodo.22221466

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