Learning Thermodynamics with Boltzmann Machines. - Giacomo Torlai; Roger G. Melko (CoRR, 2016)

Reconstructing quantum states with generative models. - Juan Carrasquilla; Giacomo Torlai; Roger G. Melko; Leandro Aolita (Nat. Mach. Intell., 2019)

Author Correction: Reconstructing quantum states with generative models. - Juan Carrasquilla; Giacomo Torlai; Roger G. Melko; Leandro Aolita (Nat. Mach. Intell., 2019)

NetKet: A machine learning toolkit for many-body quantum systems. - Giuseppe Carleo; Kenny Choo; Damian Hofmann; James E. T. Smith; Tom Westerhout; Fabien Alet; Emily J. Davis; Stavros Efthymiou; Ivan Glasser; Sheng-Hsuan Lin; Marta Mauri; Guglielmo Mazzola; et al. (SoftwareX, 2019)

Provably efficient machine learning for quantum many-body problems. - Hsin-Yuan Huang; Richard Kueng; Giacomo Torlai; Victor V. Albert; John Preskill (CoRR, 2021)

Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition. - Juan Carrasquilla; Mohamed Hibat-Allah; Estelle M. Inack; Alireza Makhzani; Kirill Neklyudov; Graham W. Taylor; Giacomo Torlai (CoRR, 2023)

Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice. - Mohamed Hibat-Allah; Ejaaz Merali; Giacomo Torlai; Roger G. Melko; Juan Carrasquilla (CoRR, 2024)