A general-purpose self-attention Fermi neural network finds chiral p_x ± ip_y superconductivity in an attractive Fermi gas via unbiased energy minimization.
The KFAC formulation assumes that the matrix element Fab ≈ 0 if θa and θb are from different neural network layers
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.supr-con 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Attention is all you need to solve chiral superconductivity
A general-purpose self-attention Fermi neural network finds chiral p_x ± ip_y superconductivity in an attractive Fermi gas via unbiased energy minimization.