Spectroscopy of two-dimensional interacting lattice electrons using symmetry-aware neural backflow transformations
Abstract Neural networks have shown to be a powerful tool to represent the ground state of quantum many-body systems, including fermionic systems. However, efficiently integrating lattice symmetries into neural representations remains a significant challenge. In this work, we introduce a framework f...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-025-01955-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|