Követés
Juan Felipe Carrasquilla Álvarez
Juan Felipe Carrasquilla Álvarez
E-mail megerősítve itt: ethz.ch
Cím
Hivatkozott rá
Hivatkozott rá
Év
Machine learning phases of matter
J Carrasquilla, RG Melko
Nature Physics 13 (5), 431, 2017
15332017
Neural-network quantum state tomography
G Torlai, G Mazzola, J Carrasquilla, M Troyer, R Melko, G Carleo
Nature Physics 14 (5), 447-450, 2018
8792018
Machine learning phases of strongly correlated fermions
K Ch’Ng, J Carrasquilla, RG Melko, E Khatami
Physical Review X 7 (3), 031038, 2017
4142017
Machine learning quantum phases of matter beyond the fermion sign problem
P Broecker, J Carrasquilla, RG Melko, S Trebst
Scientific reports 7 (1), 8823, 2017
3742017
Observation of topological phenomena in a programmable lattice of 1,800 qubits
AD King, J Carrasquilla, J Raymond, I Ozfidan, E Andriyash, A Berkley, ...
Nature 560 (7719), 456-460, 2018
3412018
Reconstructing quantum states with generative models
J Carrasquilla, G Torlai, RG Melko, L Aolita
Nature Machine Intelligence 1 (3), 155-161, 2019
3152019
Machine learning for quantum matter
J Carrasquilla
Advances in Physics: X 5 (1), 1797528, 2020
2302020
Recurrent neural network wave functions
M Hibat-Allah, M Ganahl, LE Hayward, RG Melko, J Carrasquilla
Physical Review Research 2 (2), 023358, 2020
2252020
Restricted Boltzmann machines in quantum physics
RG Melko, G Carleo, J Carrasquilla, JI Cirac
Nature Physics 15 (9), 887-892, 2019
2032019
Exploring entanglement and optimization within the hamiltonian variational ansatz
R Wiersema, C Zhou, Y de Sereville, JF Carrasquilla, YB Kim, H Yuen
PRX Quantum 1 (2), 020319, 2020
1832020
Scaling of the gap, fidelity susceptibility, and Bloch oscillations across the superfluid-to-Mott-insulator transition in the one-dimensional Bose-Hubbard model
J Carrasquilla, SR Manmana, M Rigol
Physical Review A 87 (4), 043606, 2013
992013
Neural Gutzwiller-projected variational wave functions
F Ferrari, F Becca, J Carrasquilla
Physical Review B 100 (12), 125131, 2019
802019
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
732023
Autoregressive neural network for simulating open quantum systems via a probabilistic formulation
D Luo, Z Chen, J Carrasquilla, BK Clark
Physical review letters 128 (9), 090501, 2022
732022
Phase diagram of the half-filled one-dimensional -- model
T Mishra, J Carrasquilla, M Rigol
Physical Review B 84 (11), 115135, 2011
702011
Spectral tensor networks for many-body localization
A Chandran, J Carrasquilla, IH Kim, DA Abanin, G Vidal
Physical Review B 92 (2), 024201, 2015
672015
Attention-based quantum tomography
P Cha, P Ginsparg, F Wu, J Carrasquilla, PL McMahon, EA Kim
Machine Learning: Science and Technology 3 (1), 01LT01, 2021
662021
How to use neural networks to investigate quantum many-body physics
J Carrasquilla, G Torlai
PRX Quantum 2 (4), 040201, 2021
63*2021
Quantum distillation and confinement of vacancies in a doublon sea
L Xia, LA Zundel, J Carrasquilla, A Reinhard, JM Wilson, M Rigol, ...
Nature Physics 11 (4), 316-320, 2015
582015
Variational neural annealing
M Hibat-Allah, EM Inack, R Wiersema, RG Melko, J Carrasquilla
Nature Machine Intelligence 3 (11), 952-961, 2021
572021
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Cikkek 1–20