JC
Juan Carrasquilla
quant-phcond-mat.str-elcond-mat.dis-nnphysics.comp-phcs.LGcond-mat.quant-gascond-mat.stat-mechcs.AIphysics.chem-phAlgorithms
On Valency
published · living versionsW_rcj5gvn7·v2 · currentpublished
Multipole splats for optimized and inverted effective potentials
with Matija Medvidović, Angel Rubio
2 versions
Preprints & journals
89 papers in the corpus · 2004–2026Multipole splats for optimized and inverted effective potentials2609.09280v2 · Matija Medvidovi'c, Angel Rubio, Juan Carrasquilla2026 · 0 citationsarXivon Valency
Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States2606.07825v1 · Hang Zhang, Victor Armegioiu, Juan Carrasquilla et al.2026 · 0 citationsarXiv
Near-Optimal Quantum Time Evolution Circuits via Provably Convergent Compression2605.17067v1 · Erenay Karacan, Isabel Nha Minh Le, Matteo D'Anna et al.2026 · 0 citationsarXiv
Neural network quantum states in the grand canonical ensemble2605.07779v1 · Anton Hul, Matija Medvidovi'c, Juan Carrasquilla2026 · 0 citationsarXiv
Distributions of Noisy Expectation Values over Sets of Measurement Operators2604.05973v2 · Matthew Duschenes, Roger G. Melko, Juan Carrasquilla et al.2026 · 0 citationsPhys. Rev. A 114, 022434 (2026)
Biorthogonal Neural Network Approach to 2D Non-Hermitian Systems.41964979 · Solinas, Massimo, Barton, Brandon, Zhang, Yuxuan et al.2026 · 1 citationPhysical review letters. 2026;136(12):126501
Accurate Ground States of SU(2) Lattice Gauge Theory in 2+1D and 3+1D.41894763 · Spriggs, Thomas, Greplova, Eliska, Carrasquilla, Juan et al.2026 · 3 citationsPhysical review letters. 2026;136(10):101902
Fermionic neural Gibbs states2512.04663v1 · Jannes Nys, Juan Carrasquilla2025 · 0 citationsarXiv
Majorana string simulation of nonequilibrium dynamics in two-dimensional lattice fermion systems2511.02809v2 · Matteo D'Anna, Jannes Nys, Juan Carrasquilla2025 · 0 citationsarXiv
Adiabatic transport of neural network quantum states2510.15030v2 · Matija Medvidovi'c, Alev Orfi, Juan Carrasquilla et al.2025 · 0 citationsPRX Intelligence 1, 013020 (2026)
CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers2510.05228v2 · Haining Pan, James V. Roggeveen, Erez Berg et al.2025 · 0 citationsInternational Conference on Learning Representations (ICLR) main conference 2026
Entanglement and optimization within autoregressive neural quantum states2509.12365v3 · Andrew Jreissaty, Hang Zhang, Jairo C. Quijano et al.2025 · 0 citationsPhys. Rev. Research 8, 013147 (2026)
Discovery of energy landscapes towards optimized quantum transport: Environmental effects and long-range tunneling2508.09371v2 · Maggie Lawrence, Matthew Pocrnic, Erin Fung et al.2025 · 1 citationPhys. Rev. Res., vol. 8, p. 013163, Feb. 2026
Functional Neural Wavefunction Optimization2507.10835v1 · Victor Armegioiu, Juan Carrasquilla, Siddhartha Mishra et al.2025 · 0 citationsarXiv
Circuit compression for 2D quantum dynamics2507.01883v2 · Matteo D'Anna, Yuxuan Zhang, Roeland Wiersema et al.2025 · 0 citationsarXiv
Connectivity determines the capability of sparse neural network quantum states2505.22734v2 · Brandon Barton, Juan Carrasquilla, Christopher Roth et al.2025 · 1 citationarXiv
Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the triangular lattice2505.20406v3 · M. Schuyler Moss, Roeland Wiersema, Mohamed Hibat-Allah et al.2025 · 3 citationsarXiv
Observation of a non-Hermitian supersonic mode on a trapped-ion quantum computer.40189594 · Zhang, Yuxuan, Carrasquilla, Juan, Kim, Yong Baek2025 · 15 citationsNature communications. 2025;16(1):3286
Comment on: "Dynamics of disordered quantum systems with two- and three-dimensional tensor networks" arXiv:2503.056932504.06283v1 · Andrew D. King, Alberto Nocera, Marek M. Rams et al.2025 · 0 citationsarXiv
Beyond-classical computation in quantum simulation.40072342 · King, Andrew D, Nocera, Alberto, Rams, Marek M et al.2025 · 137 citationsScience (New York, N.Y.). 2025;388(6743):199-204
Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the square lattice2502.17144v3 · M. Schuyler Moss, Roeland Wiersema, Mohamed Hibat-Allah et al.2025 · 5 citationsarXiv
Autoregressive neural quantum states of Fermi Hubbard models2411.07144v2 · Eduardo Ibarra-Garc'ia-Padilla, Hannah Lange, Roger G Melko et al.2024 · 9 citationsPhys. Rev. Research 7, 013122 (2025)
Variational benchmarks for quantum many-body problems.39418373 · Wu, Dian, Rossi, Riccardo, Vicentini, Filippo et al.2024 · 79 citationsScience (New York, N.Y.). 2024;386(6719):296-301
Scalable quantum dynamics compilation via quantum machine learning2409.16346v1 · Yuxuan Zhang, Roeland Wiersema, Juan Carrasquilla et al.2024 · 0 citationsarXiv
Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice2405.20384v2 · Mohamed Hibat-Allah, Ejaaz Merali, Giacomo Torlai et al.2024 · 6 citationsCommunications Physics volume 8, Article number: 308 (2025)
The statistical mechanics and machine learning of the -Rényi ensemble2404.04005v5 · Andrew Jreissaty, Juan Carrasquilla2024 · 0 citationsPhys. Rev. Research 7, 013070 (2025)
Geodesic Algorithm for Unitary Gate Design with Time-Independent Hamiltonians2401.05973v2 · Dylan Lewis, Roeland Wiersema, Juan Carrasquilla et al.2024 · 4 citationsPhys. Rev. A 111, 052618 (2025)
Characterization of overparametrization in the simulation of realistic quantum systems2401.05500v2 · Matthew Duschenes, Juan Carrasquilla, Raymond Laflamme2024 · 5 citationsPhys. Rev. A 109, 062607 (2024)
Language models for quantum simulation.38253806 · Melko, Roger G, Carrasquilla, Juan2024 · 19 citationsNature computational science. 2024;4(1):11-18
Neural network approach to quasiparticle dispersions in doped antiferromagnets2310.08578v1 · Hannah Lange, Fabian Doschl, Juan Carrasquilla et al.2023 · 18 citationsCommunications Physics volume 7, Article number: 187 (2024)
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation2307.07050v3 · Kirill Neklyudov, Jannes Nys, Luca Thiede et al.2023 · 4 citationsarXiv
Composite QDrift-Product Formulas for Quantum and Classical Simulations in Real and Imaginary Time2306.16572v1 · Matthew Pocrnic, Matthew Hagan, Juan Carrasquilla et al.2023 · 9 citationsarXiv
Quantum-Classical Multiple Kernel Learning2305.17707v1 · Ara Ghukasyan, Jack S. Baker, Oktay Goktas et al.2023 · 0 citationsarXiv
Quantum process tomography with unsupervised learning and tensor networks.37208324 · Torlai, Giacomo, Wood, Christopher J, Acharya, Atithi et al.2023 · 91 citationsNature communications. 2023;14(1):2858
Synthetic dataset of speckle images for fiber optic temperature sensor.37122920 · Arango, Juan, Aristizabal, Victor, Vélez, Francisco et al.2023 · 13 citationsData in brief. 2023;48:109134
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models2303.15626v1 · Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla et al.2023 · 41 citationsCommunications Physics volume 7, Article number: 68 (2024)
Investigating Topological Order using Recurrent Neural Networks2303.11207v3 · Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla2023 · 27 citationsPhys. Rev. B 108, 075152, August 2023
Here comes the SU(N): multivariate quantum gates and gradients2303.11355v2 · Roeland Wiersema, Dylan Lewis, David Wierichs et al.2023 · 19 citationsQuantum 8, 1275 (2024)
Kagome qubit ice.36849545 · Lopez-Bezanilla, Alejandro, Raymond, Jack, Boothby, Kelly et al.2023 · 24 citationsNature communications. 2023;14(1):1105
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition2301.08292v2 · Juan Carrasquilla, Mohamed Hibat-Allah, Estelle Inack et al.2023 · 1 citationarXiv
Implicit differentiation of variational quantum algorithms2211.13765v1 · Shahnawaz Ahmed, Nathan Killoran, Juan Felipe Carrasquilla 'Alvarez2022 · 1 citationarXiv
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy2207.14314v2 · Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla2022 · 8 citationsMachine Learning and the Physical Sciences, NeurIPS 2021
Modern applications of machine learning in quantum sciences2204.04198v4 · Anna Dawid, Julian Arnold, Borja Requena et al.2022 · 70 citationsCambridge University Press (2025)
Circuit connectivity boosts by quantum-classical-quantum interfaces2203.04984v1 · Roeland Wiersema, Leonardo Guerini, Juan Felipe Carrasquilla et al.2022 · 1 citationarXiv
Autoregressive Neural Network for Simulating Open Quantum Systems via a Probabilistic Formulation.35302809 · Luo, Di, Chen, Zhuo, Carrasquilla, Juan et al.2022 · 77 citationsPhysical review letters. 2022;128(9):090501
Quasiprobabilistic state-overlap estimator for NISQ devices2112.11618v1 · Leonardo Guerini, Roeland Wiersema, Juan Felipe Carrasquilla et al.2021 · 0 citationsarXiv
Measurement-induced entanglement phase transitions in variational quantum circuits2111.08035v1 · Roeland Wiersema, Cunlu Zhou, Juan Felipe Carrasquilla et al.2021 · 12 citationsarXiv
Optimal control of quantum thermal machines using machine learning2108.12441v1 · Ilia Khait, Juan Carrasquilla, Dvira Segal2021 · 42 citationsPhys. Rev. Research 4, L012029 2022
Neural Error Mitigation of Near-Term Quantum Simulations2105.08086v2 · Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy et al.2021 · 58 citationsNat Mach Intell 4, 618-624 (2022)
Neural networks in quantum many-body physics: a hands-on tutorial2101.11099v1 · Juan Carrasquilla, Giacomo Torlai2021 · 10 citationsarXiv
Career total: 184 works. 89 are in this corpus.Showing the 50 most recent.
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