Geometric Optimization via Quantum Simulation

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper explores the application of quantum simulation to the optimization of geometric shapes and structures. We propose a novel approach that leverages the unique properties of quantum algorithms to significantly accelerate the optimization process compared to classical methods. The core of our work involves constructing a quantum simulation framework, utilizing quantum algorithms to effectively explore the solution space and identify optimal configurations. We demonstrate the potential of this methodology to address challenges in geometric optimization, offering a promising path toward more efficient and insightful solutions. The research underscores the potential of quantum simulation to revolutionize geometric problem-solving.

DOI: 10.5281/zenodo.22248940

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