Python toolbox for sampling Determinantal Point Processes

Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".

High-performance (& with GPU support) implementation of Stochastic Reconfiguration and Stochastic Wavefunction Optimisation methods for Neural Quantum States

Python Based Auxiliary-Field Quantum Monte Carlo

A numerical solver package for a wide range of quantum lattice models based on many-variable Variational Monte Carlo method

A Tutorial to Julia Language for Physicists

Random Number Generators for the Julia Language.

The Arnoldi Method with Krylov-Schur restart, natively in Julia.