Quantum-Enhanced Diffusion Processes – Algorithmic Optimization of Diffusion Modeling

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum annealing offers a novel approach to simulating diffusion processes, promising accelerated optimization and enhanced pattern generation. This paper explores the potential of this technique to address a critical bottleneck in simulating diffusion, specifically focusing on the efficient exploration of the solution space. We detail a new algorithm employing quantum annealing to optimize diffusion model parameters, demonstrating a significant speedup compared to classical methods. The core mechanism centers on leveraging quantum annealing's ability to identify optimal solutions through a probabilistic search process. This approach offers a pathway towards more realistic and complex diffusion patterns, with implications for materials science and biology.

DOI: 10.5281/zenodo.22453021

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