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Giuseppe Carleo
Giuseppe Carleo
Associate Professor of Physics - EPFL, Lausanne, Switzerland
Zweryfikowany adres z epfl.ch - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Machine learning and the physical sciences
G Carleo, I Cirac, K Cranmer, L Daudet, M Schuld, N Tishby, ...
Reviews of Modern Physics 91 (4), 045002, 2019
26032019
Solving the quantum many-body problem with artificial neural networks
G Carleo, M Troyer
Science 355 (6325), 602-606, 2017
25532017
Neural-network quantum state tomography
G Torlai, G Mazzola, J Carrasquilla, M Troyer, R Melko, G Carleo
Nature physics 14 (5), 447-450, 2018
10072018
Quantum simulators: Architectures and opportunities
E Altman, KR Brown, G Carleo, LD Carr, E Demler, C Chin, B DeMarco, ...
PRX quantum 2 (1), 017003, 2021
5922021
Quantum natural gradient
J Stokes, J Izaac, N Killoran, G Carleo
Quantum 4, 269, 2020
5192020
Neural-network approach to dissipative quantum many-body dynamics
MJ Hartmann, G Carleo
Physical review letters 122 (25), 250502, 2019
3052019
Symmetries and many-body excitations with neural-network quantum states
K Choo, G Carleo, N Regnault, T Neupert
Physical review letters 121 (16), 167204, 2018
2802018
Deep autoregressive models for the efficient variational simulation of many-body quantum systems
O Sharir, Y Levine, N Wies, G Carleo, A Shashua
Physical review letters 124 (2), 020503, 2020
2762020
Fermionic neural-network states for ab-initio electronic structure
K Choo, A Mezzacapo, G Carleo
Nature communications 11 (1), 2368, 2020
2612020
Two-dimensional frustrated model studied with neural network quantum states
K Choo, T Neupert, G Carleo
Physical Review B 100 (12), 125124, 2019
2502019
Localization and glassy dynamics of many-body quantum systems
G Carleo, F Becca, M Schiró, M Fabrizio
Scientific Reports 2, 243, 2012
2442012
Restricted Boltzmann machines in quantum physics
RG Melko, G Carleo, J Carrasquilla, JI Cirac
Nature Physics 15 (9), 887-892, 2019
2332019
Constructing exact representations of quantum many-body systems with deep neural networks
G Carleo, Y Nomura, M Imada
Nature communications 9 (1), 5322, 2018
2222018
NetKet: A machine learning toolkit for many-body quantum systems
G Carleo, K Choo, D Hofmann, JET Smith, T Westerhout, F Alet, EJ Davis, ...
SoftwareX 10, 100311, 2019
1532019
Light-cone effect and supersonic correlations in one- and two-dimensional bosonic superfluids
G Carleo, F Becca, L Sanchez-Palencia, S Sorella, M Fabrizio
Physical Review A 89 (3), 031602(R), 2014
1412014
An efficient quantum algorithm for the time evolution of parameterized circuits
S Barison, F Vicentini, G Carleo
Quantum 5, 512, 2021
1282021
Simultaneous perturbation stochastic approximation of the quantum fisher information
J Gacon, C Zoufal, G Carleo, S Woerner
Quantum 5, 567, 2021
1212021
Nonstoquastic Hamiltonians and quantum annealing of an Ising spin glass
L Hormozi, EW Brown, G Carleo, M Troyer
Physical review B 95 (18), 184416, 2017
1212017
Quantum process tomography with unsupervised learning and tensor networks
G Torlai, CJ Wood, A Acharya, G Carleo, J Carrasquilla, L Aolita
Nature Communications 14 (1), 2858, 2023
1112023
NetKet 3: Machine learning toolbox for many-body quantum systems
F Vicentini, D Hofmann, A Szabó, D Wu, C Roth, C Giuliani, G Pescia, ...
SciPost Physics Codebases, 007, 2022
1082022
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