Tutorials

Step-by-step notebooks covering the main workflows of NetKet Foundation.

1. FNQS Training Basics

A first look at NetKet Foundation: setting up a model, defining a parameter space, and running a basic optimization.

1.%20FNQS%20training%20basics.html

2. FNQS with Disorder

Training foundation neural quantum states on disordered Hamiltonians.

2.%20FNQS%20with%20disorder.html

3. Importance Sampling

Using importance sampling to improve training efficiency.

3.%20Importance%20Sampling.html

4. Managing Data with FNQS

How to handle datasets and checkpoints when working with FNQS.

4.%20Managing%20data%20with%20FNQS.html

5. Hubbard model with FNQS

Training a fermionic foundation NQS on the 1D Hubbard chain across the full U/t range.

5.%20Hubbard%20model%20with%20FNQS.html