Juan Felipe Carrasquilla Álvarez

Cited by

	All	Since 2020
Citations	7292	5806
h-index	34	28
i10-index	58	46

1600

800

400

1200

201020112012201320142015201620172018201920202021202220232024202520 25 11 27 49 68 62 181 397 592 858 1013 1083 1137 1568 145

Public access

View all

39 articles

2 articles

available

not available

Based on funding mandates

Co-authors

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
Giuseppe CarleoAssociate Professor of Physics - EPFL, Lausanne, SwitzerlandVerified email at epfl.ch
Marcos RigolProfessor of Physics, Penn State UniversityVerified email at phys.psu.edu
Mohamed HIBAT-ALLAHAssistant professor, University of WaterlooVerified email at uwaterloo.ca
Roeland WiersemaPhD Student, University of Waterloo / Vector InstituteVerified email at uwaterloo.ca
Leandro AolitaQuantum Research Centre - Technology Innovation InstituteVerified email at tii.ae
Ehsan KhatamiSan Jose State UniversityVerified email at sjsu.edu
Guglielmo MazzolaUniversity of ZurichVerified email at uzh.ch
Matthias TroyerMicrosoft QuantumVerified email at microsoft.com
Federico BeccaUniversity of TriesteVerified email at units.it
Bryan ClarkAssociate Professor, University of Illinois at Urbana ChampaignVerified email at illinois.edu
Roman Eduardo Castaneda SepulvedaUniversidad Nacional de ColombiaVerified email at unal.edu.co
Di LuoMassachusetts Institute of TechnologyVerified email at mit.edu
Jorge Garcia-SucerquiaProfessor Universidad Nacional de Colombia Sede MedellinVerified email at unal.edu.co
Lauren E. HaywardTeaching Faculty, Perimeter Institute; Adjunct Assistant Professor, University of WaterlooVerified email at perimeterinstitute.ca
Cunlu ZhouAssistant Professor, Université de SherbrookeVerified email at usherbrooke.ca
Simon TrebstUniversity of CologneVerified email at thp.uni-koeln.de
Estelle InackPerimeter InstituteVerified email at pitp.ca
Zhuo ChenMassachusetts Institute of TechnologyVerified email at mit.edu

Juan Felipe Carrasquilla Álvarez

ETH Zürich

Verified email at ethz.ch

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	1688	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	999	2018
Machine learning phases of strongly correlated fermions K Ch’Ng, J Carrasquilla, RG Melko, E Khatami Physical Review X 7 (3), 031038, 2017	434	2017
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	386	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	368	2018
Reconstructing quantum states with generative models J Carrasquilla, G Torlai, RG Melko, L Aolita Nature Machine Intelligence 1 (3), 155-161, 2019	365	2019
Machine learning for quantum matter J Carrasquilla Advances in Physics: X 5 (1), 1797528, 2020	277	2020
Recurrent neural network wave functions M Hibat-Allah, M Ganahl, LE Hayward, RG Melko, J Carrasquilla Physical Review Research 2 (2), 023358, 2020	275	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	235	2020
Restricted Boltzmann machines in quantum physics RG Melko, G Carleo, J Carrasquilla, JI Cirac Nature Physics 15 (9), 887-892, 2019	233	2019
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
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—Atomic, Molecular, and Optical Physics 87 (4), 043606, 2013	102	2013
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	90	2022
Neural Gutzwiller-projected variational wave functions F Ferrari, F Becca, J Carrasquilla Physical Review B 100 (12), 125131, 2019	90	2019
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	83	2021
Variational neural annealing M Hibat-Allah, EM Inack, R Wiersema, RG Melko, J Carrasquilla Nature Machine Intelligence 3 (11), 952-961, 2021	83	2021
Phase diagram of the half-filled one-dimensional -- model T Mishra, J Carrasquilla, M Rigol Physical Review B—Condensed Matter and Materials Physics 84 (11), 115135, 2011	82	2011
How to use neural networks to investigate quantum many-body physics J Carrasquilla, G Torlai PRX Quantum 2 (4), 040201, 2021	78*	2021
Modern applications of machine learning in quantum sciences A Dawid, J Arnold, B Requena, A Gresch, M Płodzień, K Donatella, ... arXiv preprint arXiv:2204.04198, 2022	76	2022
Spectral tensor networks for many-body localization A Chandran, J Carrasquilla, IH Kim, DA Abanin, G Vidal Physical Review B 92 (2), 024201, 2015	69	2015

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors