Juan Carrasquilla

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Quantum Mechanics

Principles Of Quantum Computing

Generative Model

Top Venues

Nat. Mach. Intell.

Mach. Learn. Sci. Technol.

Publications

Mohamed Hibat-Allah, Ejaaz Merali, Giacomo Torlai, Roger G. Melko, Juan Carrasquilla
Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice. CoRR (2024)
Roeland Wiersema, Dylan Lewis, David Wierichs, Juan Carrasquilla, Nathan Killoran
Here comes the SU(N): multivariate quantum gates and gradients. Quantum 8 (2024)
Roger G. Melko, Juan Carrasquilla
Language models for quantum simulation. Nat. Comput. Sci. 4 (1) (2024)
Kirill Neklyudov, Jannes Nys, Luca Thiede, Juan Carrasquilla, Qiang Liu, Max Welling, Alireza Makhzani
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation. CoRR (2023)
Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla
Investigating Topological Order using Recurrent Neural Networks. CoRR (2023)
Juan Carrasquilla, Mohamed Hibat-Allah, Estelle M. Inack, Alireza Makhzani, Kirill Neklyudov, Graham W. Taylor, Giacomo Torlai
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition. CoRR (2023)
Kirill Neklyudov, Jannes Nys, Luca Thiede, Juan Carrasquilla, Qiang Liu, Max Welling, Alireza Makhzani
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation. NeurIPS (2023)
Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla, Alejandro Perdomo-Ortiz
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models. CoRR (2023)
Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim
Attention-based quantum tomography. Mach. Learn. Sci. Technol. 3 (1) (2022)
Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy. CoRR (2022)
Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
Neural Error Mitigation of Near-Term Quantum Simulations. Nat. Mach. Intell. 4 (7) (2022)
Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
Neural Error Mitigation of Near-Term Quantum Simulations. CoRR (2021)
Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla
Variational neural annealing. Nat. Mach. Intell. 3 (11) (2021)
Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla
Variational Neural Annealing. CoRR (2021)
Kyle Sprague, Juan Carrasquilla, Stephen Whitelam, Isaac Tamblyn
Watch and learn - a generalized approach for transferrable learning in deep neural networks via physical principles. Mach. Learn. Sci. Technol. 2 (2) (2021)
Kyle Sprague, Juan Carrasquilla, Stephen Whitelam, Isaac Tamblyn
Watch and learn - a generalized approach for transferrable learning in deep neural networks via physical principles. CoRR (2020)
Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim
Attention-based Quantum Tomography. CoRR (2020)
Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita
Author Correction: Reconstructing quantum states with generative models. Nat. Mach. Intell. 1 (4) (2019)
Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita
Reconstructing quantum states with generative models. Nat. Mach. Intell. 1 (3) (2019)