Learning lattice quantum field theories with equivariant continuous flows
We propose a novel machine learning method for sampling from the high-dimensional probability distributions of Lattice Field Theories, which is based on a single neural ODE layer and incorporates the full symmetries of the problem. We test our model on the $\phi^4$ theory, showing that it systematic...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SciPost
2023-12-01
|
| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.15.6.238 |