Giacomo Torlai

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 7

Top Topics

Generative Model

Boltzmann Machine

Hierarchical Hidden Markov Models

Top Venues

Nat. Mach. Intell.

Publications

Mohamed Hibat-Allah, Ejaaz Merali, Giacomo Torlai, Roger G. Melko, Juan Carrasquilla
Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice. CoRR (2024)
Juan Carrasquilla, Mohamed Hibat-Allah, Estelle M. Inack, Alireza Makhzani, Kirill Neklyudov, Graham W. Taylor, Giacomo Torlai
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition. CoRR (2023)
Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, Victor V. Albert, John Preskill
Provably efficient machine learning for quantum many-body problems. CoRR (2021)
Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita
Author Correction: Reconstructing quantum states with generative models. Nat. Mach. Intell. 1 (4) (2019)
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, Christian B. Mendl, Evert van Nieuwenburg, Ossian O'Reilly, Hugo Théveniaut, Giacomo Torlai, Filippo Vicentini, Alexander Wietek
NetKet: A machine learning toolkit for many-body quantum systems. SoftwareX 10 (2019)
Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita
Reconstructing quantum states with generative models. Nat. Mach. Intell. 1 (3) (2019)
Giacomo Torlai, Roger G. Melko
Learning Thermodynamics with Boltzmann Machines. CoRR (2016)