Juan Felipe Carrasquilla Álvarez

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Roger G. MelkoFaculty, University of Waterloo & Perimeter Institute; Affiliate, Vector InstituteVerified email at uwaterloo.ca
Giacomo TorlaiAWS Center for Quantum ComputingVerified email at amazon.com
Marcos RigolProfessor of Physics, Penn State UniversityVerified email at phys.psu.edu
Giuseppe CarleoAssistant Professor of Computational Quantum Science - EPFL, Lausanne, SwitzerlandVerified email at epfl.ch
Leandro AolitaQuantum Research Centre - Technology Innovation InstituteVerified email at tii.ae
Guglielmo MazzolaUniversity of ZurichVerified email at uzh.ch
Matthias TroyerMicrosoft QuantumVerified email at microsoft.com
Ehsan KhatamiSan Jose State UniversityVerified email at sjsu.edu
Federico BeccaUniversity of TriesteVerified email at units.it
Roman Eduardo Castaneda SepulvedaUniversidad Nacional de ColombiaVerified email at unal.edu.co
Mohamed Hibat-AllahPhD Candidate, Vector Institute, University of WaterlooVerified email at uwaterloo.ca
Roeland WiersemaPhD Student, University of Waterloo / Vector InstituteVerified email at uwaterloo.ca
Jorge Garcia-SucerquiaProfessor Universidad Nacional de Colombia Sede MedellinVerified email at unal.edu.co
Simon TrebstUniversity of CologneVerified email at thp.uni-koeln.de
Di LuoMassachusetts Institute of TechnologyVerified email at mit.edu
Lauren E. HaywardTeaching Faculty, Perimeter Institute; Adjunct Assistant Professor, University of WaterlooVerified email at perimeterinstitute.ca
Andrea Di CioloCNR - Institute of Nanoscience (Modena, Italy)Verified email at nano.cnr.it
Victor GalitskiProfessor, Joint Quantum Institute, University of MarylandVerified email at umd.edu
Benjamin M SparPh.D. Student, Princeton UniversityVerified email at princeton.edu
Elmer Guardado-SanchezPost-Doctoral Fellow, Harvard UniversityVerified email at fas.harvard.edu

Juan Felipe Carrasquilla Álvarez

Vector Institute for Artificial Intelligence. Canada CIFAR AI chair

Verified email at vectorinstitute.ai - Homepage

Theoretical condensed matter physics quantum computing machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Machine learning phases of matter J Carrasquilla, RG Melko Nature Physics 13 (5), 431, 2017	1258	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	657	2018
Machine learning phases of strongly correlated fermions K Ch’Ng, J Carrasquilla, RG Melko, E Khatami Physical Review X 7 (3), 031038, 2017	372	2017
Machine learning quantum phases of matter beyond the fermion sign problem P Broecker, J Carrasquilla, RG Melko, S Trebst Scientific reports 7 (1), 1-10, 2017	332	2017
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	280	2018
Reconstructing quantum states with generative models J Carrasquilla, G Torlai, RG Melko, L Aolita Nature Machine Intelligence 1 (3), 155-161, 2019	221	2019
Machine learning for quantum matter J Carrasquilla Advances in Physics: X 5 (1), 1797528, 2020	142	2020
Restricted Boltzmann machines in quantum physics RG Melko, G Carleo, J Carrasquilla, JI Cirac Nature Physics 15 (9), 887-892, 2019	138	2019
Recurrent neural network wave functions M Hibat-Allah, M Ganahl, LE Hayward, RG Melko, J Carrasquilla Physical Review Research 2 (2), 023358, 2020	121	2020
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	112	2020
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	93	2013
Phase diagram of the half-filled one-dimensional -- model T Mishra, J Carrasquilla, M Rigol Physical Review B 84 (11), 115135, 2011	64	2011
Spectral tensor networks for many-body localization A Chandran, J Carrasquilla, IH Kim, DA Abanin, G Vidal Physical Review B 92 (2), 024201, 2015	63	2015
Neural Gutzwiller-projected variational wave functions F Ferrari, F Becca, J Carrasquilla Physical Review B 100 (12), 125131, 2019	52	2019
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	48	2015
Expansion of Bose-Hubbard Mott insulators in optical lattices M Jreissaty, J Carrasquilla, FA Wolf, M Rigol Physical Review A 84 (4), 043610, 2011	46	2011
A two-dimensional spin liquid in quantum kagome ice J Carrasquilla, Z Hao, RG Melko Nature communications 6 (1), 7421, 2015	42	2015
Superfluid to normal phase transition in strongly correlated bosons in two and three dimensions J Carrasquilla, M Rigol Physical Review A 86 (4), 043629, 2012	40	2012
Gap scaling at Berezinskii-Kosterlitz-Thouless quantum critical points in one-dimensional Hubbard and Heisenberg models M Dalmonte, J Carrasquilla, L Taddia, E Ercolessi, M Rigol Physical Review B 91 (16), 165136, 2015	36	2015
Visualizing strange metallic correlations in the two-dimensional Fermi-Hubbard model with artificial intelligence E Khatami, E Guardado-Sanchez, BM Spar, JF Carrasquilla, WS Bakr, ... Physical Review A 102 (3), 033326, 2020	33*	2020

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