Machine learning algorithms for many-body quantum systems

Collection of NetKet lectures

Save/Load files from NetKet, flax and other scientific ML libraries

This project provides a comprehensive framework for simulating quantum systems using various models and functionalities. The project leverages advanced mathematical libraries and parallel computing techniques to ensure efficient and accurate simulations.

A PyTorch implementation of a Neural Quantum State (NQS) simulator for quantum many-body systems, featuring symmetry-preserving neural networks and advanced sampling techniques.

Australian Childcare NQS Maps