5 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…
Neural Wavefunction Calculations of μSR Spectra with Quantum Muons and Protons
Jamie Carr, Mathias Volkai, W. M. C. Foulkes +1
Accurate prediction of muon hyperfine constants is useful for interpreting muon spin spectroscopy data, yet standard methods such as density functional theory (DFT) compute muon-el…
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…
Interaction-Induced Symmetry Breaking in Circular Quantum Dots
Andres Perez Fadon, Gino Cassella, Halvard Sutterud +1
This paper investigates interaction-induced symmetry breaking in circular quantum dots. We explain that the anisotropic static Wigner molecule ground states frequently observed in…
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
David Pfau, James S. Spencer, Alexander G. de G. Matthews +1
Given access to accurate solutions of the many-electron Schrödinger equation, nearly all chemistry could be derived from first principles. Exact wavefunctions of interesting chemic…