Giacomo Torlai

Institute of Photonic Sciences — Spain

Computer Science · Physical Sciences

17h-index2.1kcitations41works20.72yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(22), Quantum many-body systems(13), Quantum Information and Cryptography(12), Neural Networks and Applications(7), Quantum and electron transport phenomena(5)

Publications38 total

Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice
Communications Physics·2025· 5 citedOpen Access
Neural-network quantum states
Cambridge University Press eBooks·2025· 20 cited
Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice
arXiv (Cornell University)·2024Open Access
Corner entanglement of a resonating valence bond wavefunction
arXiv (Cornell University)·2024Open Access
Quantum process tomography with unsupervised learning and tensor networks
Nature Communications·2023· 70 citedOpen Access
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition
arXiv (Cornell University)·2023· 2 citedOpen Access
Provably efficient machine learning for quantum many-body problems
Science·2022· 221 cited
Simulating a measurement-induced phase transition for trapped-ion circuits
Physical review. A/Physical review, A·2021· 47 citedOpen Access
How To Use Neural Networks To Investigate Quantum Many-Body Physics
PRX Quantum·2021· 76 citedOpen Access
Provably efficient machine learning for quantum many-body problems
arXiv (Cornell University)·2021· 19 citedOpen Access
Nicholas Metropolis Award for Outstanding Doctoral Thesis Work in Computational Physics (2020)
Bulletin of the American Physical Society·2021
Neural networks in quantum many-body physics: a hands-on tutorial
arXiv (Cornell University)·2021· 11 citedOpen Access
Generative modeling of quantum simulators
Bulletin of the American Physical Society·2020
Quantum process tomography with unsupervised learning and tensor networks
arXiv (Cornell University)·2020· 13 citedOpen Access
Nicholas Metropolis Award Talk: Enhancing Quantum Simulators with Neural Networks
Bulletin of the American Physical Society·2020
Querying quantum computers with neural networks: precise measurements and noise reduction
Bulletin of the American Physical Society·2020
Integrating Neural Networks with a Quantum Simulator for State Reconstruction
Physical Review Letters·2019· 144 citedOpen Access
Machine-Learning Quantum States in the NISQ Era
Annual Review of Condensed Matter Physics·2019· 100 citedOpen Access
Learnability scaling of quantum states: Restricted Boltzmann machines
Physical review. B./Physical review. B·2019· 52 citedOpen Access
Author Correction: Reconstructing quantum states with generative models
Nature Machine Intelligence·2019· 1 citedOpen Access
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Frequent Co-authors

Roger G. Melko(19), Juan Carrasquilla(13), Giuseppe Carleo(7), Guglielmo Mazzola(5), Leandro Aolita(4), Gabriele De Chiara(4), Matthias Troyer(3), Gerard McKeown(3), Petr Marek(3), Radim Filip(3), Hyunseok Jeong(3), Mauro Paternostro(3), Mohamed Hibat-Allah(3), Ejaaz Merali(3), Hsin-Yuan Huang(2), Richard Kueng(2), Victor V. Albert(2), John Preskill(2), Evert van Nieuwenburg(2), Kenny Choo(2)