4 papers
Uncovering Exotic Paired States in the 2D Spin-Imbalanced Fermi Gas with Neural Wave Functions
Wan Tong Lou, Gino Cassella, Andres Perez Fadon +5
We study the zero-temperature phase diagram of the 2D spin-imbalanced Fermi gas with short-ranged attractive interactions using the recently developed neural network variational Mo…
Extracting Anyon Statistics from Neural Network Fractional Quantum Hall States
Andres Perez Fadon, David Pfau, James S. Spencer +3
Fractional quantum Hall states host emergent anyons with exotic exchange statistics, but obtaining direct access to their topological properties in real systems remains a challenge…
A Generalized Bias-Variance Decomposition for Bregman Divergences
David Pfau
The bias-variance decomposition is a central result in statistics and machine learning, but is typically presented only for the squared error. We present a generalization of the bi…
Neural network variational Monte Carlo for positronic chemistry
G. Cassella, W. M. C. Foulkes, D. Pfau +1
Quantum chemical calculations of the ground-state properties of positron-molecule complexes are challenging. The main difficulty lies in employing an appropriate basis set for repr…