Diffusion models and stochastic quantisation in lattice field theory
G. Aarts*, L. Wang and K. Zhou
Pre-published on:
January 22, 2025
Published on:
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Abstract
Diffusion models are currently the leading generative AI approach used for image generation in e.g. DALL-E and Stable Diffusion. In this talk we relate diffusion models to stochastic quantisation in field theory and employ it to generate configurations for scalar fields on a two-dimensional lattice. We end with some speculations on possible applications.
DOI: https://doi.org/10.22323/1.466.0037
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