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Quantum-Enhanced Geometric Modeling with Dynamic Embedding (QGEM-DE)

Jincheng Zhang

Published Sep 4, 2026• 0 citations
Publisher

Abstract

Quantum-Enhanced Geometric Modeling with Dynamic Embedding (QGEM-DE) proposes a novel method for generating geometric models that dynamically embed quantum information, enabling rapid exploration of high-dimensional space. This approach leverages quantum algorithms to generate a representation of the data, facilitating efficient exploration of the data space. The core mechanism centers around quantum embedding techniques, which offer the potential for significantly accelerating geometric modeling processes compared to classical methods. This research explores the potential of QGEM-DE to address limitations in current geometric modeling techniques, specifically focusing on the ability to efficiently handle high-dimensional data and provide a pathway towards novel insights. This work investigates the feasibility of implementing quantum algorithms for data representation and exploration, ultimately aiming to improve the performance of geometric modeling across a range of applications.

DOI
10.5281/zenodo.22293927

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