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J

Juan Carrasquilla

Institute for Theoretical Physics

28H-index
139Paper Count
4.5KCitation Count
Published Papers 37
Publication Date
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Leveraging Transfer Learning for Determining Germination Percentages in Gray Mold Disease (Botrytis cinerea)
errAgriEngineering 2025, Vol. 7, Page 303
IF3
err2025-10-01
err0
errOAAI
errLuis M. Gómez-Meneses; Andrea Pérez; Angélica Sajona; Luis F. Patiño; Jorge Herrera-Ramírez; Juan Carrasquilla; Jairo C. Quijano
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Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice
errCommunications Physics
IF5.8
err2025-07-25
err0
errOAAI
errMohamed Hibat-Allah; Ejaaz Merali; Giacomo Torlai; Roger G. Melko; Juan Carrasquilla
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errSave
Autoregressive neural quantum states of Fermi Hubbard models
errPHYSICAL REVIEW RESEARCH
IF4.2
err2025-02-03
err0
errOAAI
errIbarra-Garcia-Padilla, Eduardo; Lange, Hannah; Melko, Roger G.; Scalettar, Richard T.; Carrasquilla, Juan; Bohrdt, Annabelle; Khatami, Ehsan
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Statistical mechanics and machine learning of the α-Rényi ensemble
errPHYSICAL REVIEW RESEARCH
IF4.2
err2025-01-21
err0
errOAAI
errJreissaty, Andrew; Carrasquilla, Juan
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Neural network approach to quasiparticle dispersions in doped antiferromagnets
errCOMMUNICATIONS PHYSICS
IF5.8
err2024-06-12
err3
errOAAI
errLange, Hannah; Doeschl, Fabian; Carrasquilla, Juan; Bohrdt, Annabelle
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Composite Qdrift-product formulas for quantum and classical simulations in real and imaginary time
errPHYSICAL REVIEW RESEARCH
IF4.2
err2024-03-01
err3
errOAAI
errPocrnic, Matthew; Hagan, Matthew; Carrasquilla, Juan; Segal, Dvira; Wiebe, Nathan
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A framework for demonstrating practical quantum advantage: comparing quantum against classical generative models
errCOMMUNICATIONS PHYSICS
IF5.8
err2024-02-28
err11
errOAAI
errHibat-Allah, Mohamed; Mauri, Marta; Carrasquilla, Juan; Perdomo-Ortiz, Alejandro
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errSave
Language models for quantum simulation
errNATURE COMPUTATIONAL SCIENCE
IF18.3
err2024-01-22
err6
PREAI
errMelko, Roger G.; Carrasquilla, Juan
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errSave
Investigating topological order using recurrent neural networks
errPHYSICAL REVIEW B
IF3.7
err2023-08-22
err13
PREAI
errHibat-Allah, Mohamed; Melko, Roger G.; Carrasquilla, Juan
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errSave
Quantum process tomography with unsupervised learning and tensor networks
errNATURE COMMUNICATIONS
IF15.7
err2023-05-19
err22
errOAAI
errTorlai, Giacomo; Wood, Christopher J.; Acharya, Atithi; Carleo, Giuseppe; Carrasquilla, Juan; Aolita, Leandro
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Kagome qubit ice
errNATURE COMMUNICATIONS
IF15.7
err2023-02-27
err10
errOAAI
errLopez-Bezanilla, Alejandro; Raymond, Jack; Boothby, Kelly; Carrasquilla, Juan; Nisoli, Cristiano; King, Andrew D.
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errSave
Circuit connectivity boosts by quantum-classical-quantum interfaces
errPHYSICAL REVIEW RESEARCH
IF4.2
err2022-12-29
err0
errOAAI
errWiersema, Roeland; Guerini, Leonardo; Carrasquilla, Juan Felipe; Aolita, Leandro
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errSave
Neural Error Mitigation of Near-Term Quantum Simulations
errNATURE MACHINE INTELLIGENCE
IF23.9
err2022-07-20
err30
PREAI
errBennewitz, Elizabeth R.; Hopfmueller, Florian; Kulchytskyy, Bohdan; Carrasquilla, Juan; Ronagh, Pooya
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Optimal control of quantum thermal machines using machine learning
errPHYSICAL REVIEW RESEARCH
IF4.2
err2022-03-11
err33
errOAAI
errKhait, Ilia; Carrasquilla, Juan; Segal, Dvira
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Attention-based quantum tomography
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2021-11-23
err44
errOAAI
errCha, Peter; Ginsparg, Paul; Wu, Felix; Carrasquilla, Juan; McMahon, Peter L.; Kim, Eun-Ah
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errSave
How To Use Neural Networks To Investigate Quantum Many-Body Physics
errPRX QUANTUM
IF11
err2021-11-12
err43
errOAAI
errCarrasquilla, Juan; Torlai, Giacomo
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errSave
Variational neural annealing
errNATURE MACHINE INTELLIGENCE
IF23.9
err2021-10-25
err39
PREAI
errHibat-Allah, Mohamed; Inack, Estelle M.; Wiersema, Roeland; Melko, Roger G.; Carrasquilla, Juan
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Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies
errPRX QUANTUM
IF11
err2021-06-02
err20
errOAAI
errCoopmans, Luuk; Luo, Di; Kells, Graham; Clark, Bryan K.; Carrasquilla, Juan
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errSave
Wave-function positivization via automatic differentiation
errPHYSICAL REVIEW RESEARCH
IF4.2
err2020-09-02
err18
errOAAI
errTorlai, Giacomo; Carrasquilla, Juan; Fishman, Matthew T.; Melko, Roger G.; Fisher, Matthew P. A.
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errSave
Recurrent neural network wave functions
errPHYSICAL REVIEW RESEARCH
IF4.2
err2020-06-17
err156
errOAAI
errHibat-Allah, Mohamed; Ganahl, Martin; Hayward, Lauren E.; Melko, Roger G.; Carrasquilla, Juan
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Research Directions

No research directions
Co-authors
Cooperation Journals
J
J. I. Cirac
H-index: 147 · Papers: 901
M
Matthias Troyer
H-index: 95 · Papers: 597
G
Guifré Vidal
H-index: 77 · Papers: 283
M
Marcos Rigol
H-index: 63 · Papers: 349
D
Dmitry A. Abanin
H-index: 61 · Papers: 234
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