arXiv Open Access 2024

Diffusion models and stochastic quantisation in lattice field theory

Gert Aarts Lingxiao Wang Kai Zhou

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Abstrak

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.

Topik & Kata Kunci

hep-lat cond-mat.dis-nn

Penulis (3)

Gert Aarts

Lingxiao Wang

Kai Zhou

Format Sitasi

APA MLA BibTeX

Aarts, G., Wang, L., Zhou, K. (2024). Diffusion models and stochastic quantisation in lattice field theory. https://arxiv.org/abs/2412.13704

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓