| 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 | 2566 | 2019 |
| Solving the quantum many-body problem with artificial neural networks G Carleo, M Troyer Science 355 (6325), 602-606, 2017 | 2538 | 2017 |
| Neural-network quantum state tomography G Torlai, G Mazzola, J Carrasquilla, M Troyer, R Melko, G Carleo Nature physics 14 (5), 447-450, 2018 | 1000 | 2018 |
| 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 | 589 | 2021 |
| Quantum natural gradient J Stokes, J Izaac, N Killoran, G Carleo Quantum 4, 269, 2020 | 504 | 2020 |
| Neural-network approach to dissipative quantum many-body dynamics MJ Hartmann, G Carleo Physical review letters 122 (25), 250502, 2019 | 308 | 2019 |
| 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 | 274 | 2018 |
| 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 | 270 | 2020 |
| Fermionic neural-network states for ab-initio electronic structure K Choo, A Mezzacapo, G Carleo Nature communications 11 (1), 2368, 2020 | 257 | 2020 |
| Localization and glassy dynamics of many-body quantum systems G Carleo, F Becca, M Schiró, M Fabrizio Scientific Reports 2, 243, 2012 | 247 | 2012 |
| Two-dimensional frustrated model studied with neural network quantum states K Choo, T Neupert, G Carleo Physical Review B 100 (12), 125124, 2019 | 241 | 2019 |
| Restricted Boltzmann machines in quantum physics RG Melko, G Carleo, J Carrasquilla, JI Cirac Nature Physics 15 (9), 887-892, 2019 | 233 | 2019 |
| Constructing exact representations of quantum many-body systems with deep neural networks G Carleo, Y Nomura, M Imada Nature communications 9 (1), 5322, 2018 | 223 | 2018 |
| 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 | 148 | 2019 |
| 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 | 144 | 2014 |
| An efficient quantum algorithm for the time evolution of parameterized circuits S Barison, F Vicentini, G Carleo Quantum 5, 512, 2021 | 131 | 2021 |
| 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 | 117 | 2017 |
| 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 | 114 | 2022 |
| Simultaneous perturbation stochastic approximation of the quantum fisher information J Gacon, C Zoufal, G Carleo, S Woerner Quantum 5, 567, 2021 | 114 | 2021 |
| 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 | 109 | 2023 |
Kenny Jing Hui ChooResearch Staff Member, IBMzurich.ibm.com의 이메일 확인됨