Work

Generative modeling with projected entangled-pair states

Year: 2022
Type: preprint
Abstract: We argue and demonstrate that projected entangled-pair states (PEPS) outperform matrix product states significantly for the task of generative modeling of datasets with an intrinsic two-dimensional structure such as images. Our approach builds on a recently introduced algorithm for sampling PEPS, which allows for the efficient optimization and sampling of the distributions.
Language: English
Open Access status: green
OpenAlex ID: W4221149907
Cites:
Cited by: 6
Related to: 10