Giacomo Torlai
Giacomo Torlai
Center for Computational Quantum Physics, Flatiron Institute, New York
Verified email at flatironinstitute.org - Homepage
TitleCited byYear
Neural-network quantum state tomography
G Torlai, G Mazzola, J Carrasquilla, M Troyer, R Melko, G Carleo
Nature Physics 14 (5), 447, 2018
189*2018
Learning thermodynamics with Boltzmann machines
G Torlai, RG Melko
Physical Review B 94 (16), 165134, 2016
1332016
Neural decoder for topological codes
G Torlai, RG Melko
Physical review letters 119 (3), 030501, 2017
812017
Latent space purification via neural density operators
G Torlai, RG Melko
Physical review letters 120 (24), 240503, 2018
312018
Dynamics of the entanglement spectrum in spin chains
G Torlai, L Tagliacozzo, G De Chiara
Journal of Statistical Mechanics: Theory and Experiment 2014 (06), P06001, 2014
312014
Reconstructing quantum states with generative models
J Carrasquilla, G Torlai, RG Melko, L Aolita
Nature Machine Intelligence 1 (3), 155, 2019
262019
Violation of Bell's inequalities with preamplified homodyne detection
G Torlai, G McKeown, P Marek, R Filip, H Jeong, M Paternostro, ...
Physical Review A 87 (5), 052112, 2013
112013
Integrating neural networks with a quantum simulator for state reconstruction
G Torlai, B Timar, EPL van Nieuwenburg, H Levine, A Omran, A Keesling, ...
arXiv preprint arXiv:1904.08441, 2019
82019
Machine learning quantum states in the NISQ era
G Torlai, RG Melko
arXiv preprint arXiv:1905.04312, 2019
72019
NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems
G Carleo, K Choo, D Hofmann, JET Smith, T Westerhout, F Alet, EJ Davis, ...
arXiv preprint arXiv:1904.00031, 2019
72019
QuCumber: wavefunction reconstruction with neural networks
MJS Beach, I De Vlugt, A Golubeva, P Huembeli, B Kulchytskyy, X Luo, ...
SciPost Physics 7 (1), 009, 2019
42019
Learnability scaling of quantum states: Restricted Boltzmann machines
D Sehayek, A Golubeva, MS Albergo, B Kulchytskyy, G Torlai, RG Melko
Physical Review B 100 (19), 195125, 2019
32019
Wavefunction positivization via automatic differentiation
G Torlai, J Carrasquilla, MT Fishman, RG Melko, M Fisher
arXiv preprint arXiv:1906.04654, 2019
32019
Schmidt gap in random spin chains
G Torlai, KD McAlpine, G De Chiara
Physical Review B 98 (8), 085153, 2018
32018
Quantum robustness and phase transitions of the 3D Toric Code in a field
DA Reiss, KP Schmidt, M Perrier, Z Amodjee, P Dussarrat, A Dareau, ...
arXiv preprint arXiv:1902.03908, 2019
12019
Augmenting Quantum Mechanics with Artificial Intelligence
G Torlai
University of Waterloo, 2018
12018
Neural-network quantum states
G Carleo, M Troyer, G Torlai, R Melko, J Carrasquilla, G Mazzola
Bulletin of the American Physical Society 63, 2018
12018
NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems.(2019), 3
K Choo, D Hofmann, JET Smith, T Westerhout, F Alet, EJ Davis, ...
URL http://arxiv. org/abs, 1904
11904
Precise measurement of quantum observables with neural-network estimators
G Torlai, G Mazzola, G Carleo, A Mezzacapo
arXiv preprint arXiv:1910.07596, 2019
2019
NetKet: A machine learning toolkit for many-body quantum systems
D Hofmann, JET Smith, T Westerhout, F Alet, E Davis, S Efthymiou, ...
2019
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