Learning Minimal Representations of Fermionic Ground States

Felix Frohnert, Emiel Koridon, Stefano Polla

We introduce an unsupervised machine-learning framework that discovers optimally compressed representations of quantum many-body ground states. Using an autoencoder neural network…