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Juan Carrasquilla
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2020 – today
- 2024
- [j8]Roger G. Melko, Juan Carrasquilla:
Language models for quantum simulation. Nat. Comput. Sci. 4(1): 11-18 (2024) - [j7]Roeland Wiersema, Dylan Lewis, David Wierichs, Juan Carrasquilla, Nathan Killoran:
Here comes the SU(N): multivariate quantum gates and gradients. Quantum 8: 1275 (2024) - [i12]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 abs/2405.20384 (2024) - [i11]Yuxuan Zhang, Roeland Wiersema, Juan Carrasquilla, Lukasz Cincio, Yong Baek Kim:
Scalable quantum dynamics compilation via quantum machine learning. CoRR abs/2409.16346 (2024) - 2023
- [c1]Kirill Neklyudov, Jannes Nys, Luca A. 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 - [i10]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 abs/2301.08292 (2023) - [i9]Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla:
Investigating Topological Order using Recurrent Neural Networks. CoRR abs/2303.11207 (2023) - [i8]Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla, Alejandro Perdomo-Ortiz:
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models. CoRR abs/2303.15626 (2023) - [i7]Kirill Neklyudov, Jannes Nys, Luca A. 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 abs/2307.07050 (2023) - 2022
- [j6]Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim:
Attention-based quantum tomography. Mach. Learn. Sci. Technol. 3(1): 01 (2022) - [j5]Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh:
Neural Error Mitigation of Near-Term Quantum Simulations. Nat. Mach. Intell. 4(7): 618-624 (2022) - [i6]Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla:
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy. CoRR abs/2207.14314 (2022) - 2021
- [j4]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): 02 (2021) - [j3]Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla:
Variational neural annealing. Nat. Mach. Intell. 3(11): 952-961 (2021) - [i5]Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla:
Variational Neural Annealing. CoRR abs/2101.10154 (2021) - [i4]Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh:
Neural Error Mitigation of Near-Term Quantum Simulations. CoRR abs/2105.08086 (2021) - 2020
- [i3]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 abs/2003.02647 (2020) - [i2]Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim:
Attention-based Quantum Tomography. CoRR abs/2006.12469 (2020) - [i1]Roeland Wiersema, Cunlu Zhou, Yvette de Sereville, Juan Felipe Carrasquilla, Yong Baek Kim, Henry Yuen:
Exploring entanglement and optimization within the Hamiltonian Variational Ansatz. CoRR abs/2008.02941 (2020)
2010 – 2019
- 2019
- [j2]Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita:
Reconstructing quantum states with generative models. Nat. Mach. Intell. 1(3): 155-161 (2019) - [j1]Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita:
Author Correction: Reconstructing quantum states with generative models. Nat. Mach. Intell. 1(4): 200 (2019)
Coauthor Index
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