2 papers
cond-mat.str-el2025
Spectroscopy of two-dimensional interacting lattice electrons using symmetry-aware neural backflow transformations
Imelda Romero, Jannes Nys, Giuseppe Carleo
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 s…
quant-ph2024
Variational Benchmarks for Quantum Many-Body Problems
Dian Wu, Riccardo Rossi, Filippo Vicentini +30
The continued development of computational approaches to many-body ground-state problems in physics and chemistry calls for a consistent way to assess its overall progress. In this…