Juan Carrasquilla

23 papers A* 1Journal 22
YearRankTypeTitle / Venue / Authors
2025 J jnl
CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers.
CoRR
Haining Pan, James V. Roggeveen, Erez Berg, Juan Carrasquilla, Debanjan Chowdhury, Surya Ganguli, Federico Ghimenti, Juraj Hasik, Henry Hunt, HongJiang Zhang, Mason Kamb, Ying-Jer Kao, Ehsan Khatami, Michael J. Lawler, Di Luo, Titus Neupert, Xiaoliang Qi, Michael P. Brenner, Eun-Ah Kim
2025 J jnl
Fermionic neural Gibbs states.
CoRR
Jannes Nys, Juan Carrasquilla
2025 J jnl
Functional Neural Wavefunction Optimization.
CoRR
Victor Armegioiu, Juan Carrasquilla, Siddhartha Mishra, Johannes Müller, Jannes Nys, Marius Zeinhofer, Hang Zhang
2024 J jnl
Here comes the SU(N): multivariate quantum gates and gradients.
Quantum
Roeland Wiersema, Dylan Lewis, David Wierichs, Juan Carrasquilla, Nathan Killoran
2024 J jnl
Language models for quantum simulation.
Nat. Comput. Sci.
Roger G. Melko, Juan Carrasquilla
2024 J jnl
Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice.
CoRR
Mohamed Hibat-Allah, Ejaaz Merali, Giacomo Torlai, Roger G. Melko, Juan Carrasquilla
2024 J jnl
Scalable quantum dynamics compilation via quantum machine learning.
CoRR
Yuxuan Zhang, Roeland Wiersema, Juan Carrasquilla, Lukasz Cincio, Yong Baek Kim
2023 J jnl
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models.
CoRR
Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla, Alejandro Perdomo-Ortiz
2023 J jnl
Investigating Topological Order using Recurrent Neural Networks.
CoRR
Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla
2023 J jnl
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition.
CoRR
Juan Carrasquilla, Mohamed Hibat-Allah, Estelle M. Inack, Alireza Makhzani, Kirill Neklyudov, Graham W. Taylor, Giacomo Torlai
2023 A* conf
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation.
NeurIPS
Kirill Neklyudov, Jannes Nys, Luca A. Thiede, Juan Carrasquilla, Qiang Liu, Max Welling, Alireza Makhzani
2023 J jnl
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation.
CoRR
Kirill Neklyudov, Jannes Nys, Luca A. Thiede, Juan Carrasquilla, Qiang Liu, Max Welling, Alireza Makhzani
2022 J jnl
Attention-based quantum tomography.
Mach. Learn. Sci. Technol.
Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim
2022 J jnl
Neural Error Mitigation of Near-Term Quantum Simulations.
Nat. Mach. Intell.
Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
2022 J jnl
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy.
CoRR
Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla
2021 J jnl
Neural Error Mitigation of Near-Term Quantum Simulations.
CoRR
Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
2021 J jnl
Variational Neural Annealing.
CoRR
Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla
2021 J jnl
Variational neural annealing.
Nat. Mach. Intell.
Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla
2021 J jnl
Watch and learn - a generalized approach for transferrable learning in deep neural networks via physical principles.
Mach. Learn. Sci. Technol.
Kyle Sprague, Juan Carrasquilla, Stephen Whitelam, Isaac Tamblyn
2020 J jnl
Attention-based Quantum Tomography.
CoRR
Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim
2020 J jnl
Watch and learn - a generalized approach for transferrable learning in deep neural networks via physical principles.
CoRR
Kyle Sprague, Juan Carrasquilla, Stephen Whitelam, Isaac Tamblyn
2019 J jnl
Author Correction: Reconstructing quantum states with generative models.
Nat. Mach. Intell.
Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita
2019 J jnl
Reconstructing quantum states with generative models.
Nat. Mach. Intell.
Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita