Machine learning algorithms for many-body quantum systems

Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.

DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.

A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.

Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.

Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.

📝 Code for the paper "Many-body quantum sign structures as non-glassy Ising models"

Group work for Solid State physics course at Aalto University