Quantum-Enhanced Diffusion Modeling with Adaptive Kernel (QEDM-K)

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum-Enhanced Diffusion Modeling with Adaptive Kernel (QEDM-K) presents a novel approach to diffusion modeling by integrating quantum-inspired kernels to address limitations of existing methods. This research explores the application of these kernels to improve the accuracy and speed of simulating diffusion processes. The core mechanism centers around leveraging the inherent randomness captured within quantum mechanics to enhance the representation of diffusion patterns. This results in a more robust and efficient modeling process, particularly for complex scenarios. This paper details the theoretical underpinnings of the QEDM-K framework, presents a comprehensive implementation demonstrating its efficacy, and discusses potential future research directions.

DOI: 10.5281/zenodo.22186033

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