Juan Carrasquilla

ETH Zurich — Switzerland

Physics and Astronomy · Physical Sciences

28h-index4.5kcitations139works7.72yr avg
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Research Topics

Quantum many-body systems(51), Quantum Computing Algorithms and Architecture(40), Cold Atom Physics and Bose-Einstein Condensates(29), Quantum Information and Cryptography(20), Quantum, superfluid, helium dynamics(19)

Publications139 total

Entanglement and optimization within autoregressive neural quantum states
Physical Review Research·2026Open Access
Fermionic neural Gibbs states
arXiv (Cornell University)·2025Open Access
CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
arXiv (Cornell University)·2025Open Access
Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the square lattice
Physical review. B./Physical review. B·2025· 2 cited
Leveraging Transfer Learning for Determining Germination Percentages in Gray Mold Disease (Botrytis cinerea)
AgriEngineering·2025Open Access
Accurate ground states of $SU(2)$ lattice gauge theory in 2+1D and 3+1D
arXiv (Cornell University)·2025Open Access
Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the triangular lattice
Physical review. B./Physical review. B·2025· 1 cited
Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice
Communications Physics·2025· 5 citedOpen Access
Functional Neural Wavefunction Optimization
arXiv (Cornell University)·2025Open Access
Machine Learning in Quantum Sciences
Cambridge University Press eBooks·2025· 2 cited
Neural-network quantum states
Cambridge University Press eBooks·2025· 20 cited
Connectivity determines the capability of sparse neural network quantum states
ArXiv.org·2025Open Access
Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the triangular lattice
arXiv (Cornell University)·2025Open Access
Geodesic algorithm for unitary gate design with time-independent Hamiltonians
Physical review. A/Physical review, A·2025· 3 citedOpen Access
Beyond-classical computation in quantum simulation
Science·2025· 73 citedOpen Access
Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the square lattice
arXiv (Cornell University)·2025Open Access
Autoregressive neural quantum states of Fermi Hubbard models
Physical Review Research·2025· 4 citedOpen Access
BPS2025 - Including basic machine learning in biophysics courses for agricultural sciences: A hands-on approach
Biophysical Journal·2025
Statistical mechanics and machine learning of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>α</mml:mi></mml:math>-Rényi ensemble
Physical Review Research·2025Open Access
Autoregressive neural quantum states of Fermi Hubbard models
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Roger G. Melko(16), Marcos Rigol(9), Giuseppe Carleo(8), Giacomo Torlai(7), Federico Becca(7), Mohamed Hibat-Allah(6), Jack Raymond(4), Kelly Boothby(4), Leandro Aolita(4), Guglielmo Mazzola(4), Roeland Wiersema(4), Andrew D. King(3), A. J. Berkley(3), Maurício Sedrez dos Reis(3), T. Lanting(3), Fabio Altomare(3), Emile Hoskinson(3), Travis Oh(3), Gabriel Poulin-Lamarre(3), Anatoly Yu. Smirnov(3)