Giacomo Torlai

Citirano

	Sve	Od 2018.
Citati	2065	1973
H-indeks	16	16
i10-indeks	18	17

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Suautori

Roger G. MelkoFaculty, University of Waterloo & Perimeter Institute; Affiliate, Vector InstitutePotvrđena adresa e-pošte na uwaterloo.ca
Juan Felipe Carrasquilla ÁlvarezVector Institute for Artificial Intelligence. Canada CIFAR AI chairPotvrđena adresa e-pošte na vectorinstitute.ai
Giuseppe CarleoAssistant Professor of Computational Quantum Science - EPFL, Lausanne, SwitzerlandPotvrđena adresa e-pošte na epfl.ch
Guglielmo MazzolaUniversity of ZurichPotvrđena adresa e-pošte na uzh.ch
Matthias TroyerMicrosoft QuantumPotvrđena adresa e-pošte na microsoft.com
Leandro AolitaQuantum Research Centre - Technology Innovation InstitutePotvrđena adresa e-pošte na tii.ae
Evert van NieuwenburgNiels Bohr Institute and QDevPotvrđena adresa e-pošte na nbi.ku.dk
Gabriele De ChiaraReader in Quantum Information, Queen's University BelfastPotvrđena adresa e-pošte na qub.ac.uk
Antonio MezzacapoIBM Quantum - Watson Research CenterPotvrđena adresa e-pošte na us.ibm.com
Manuel EndresCaltechPotvrđena adresa e-pošte na caltech.edu
Bohdan KulchytskyySenior Scientist at 1QBitPotvrđena adresa e-pošte na uwaterloo.ca
Markus GreinerProfessor of Physics, Harvard UniversityPotvrđena adresa e-pošte na physics.harvard.edu
Hannes BernienAssistant Professor, University of ChicagoPotvrđena adresa e-pošte na uchicago.edu
Alexander KeeslingCEO, QuEra Computing IncPotvrđena adresa e-pošte na quera.com
Ahmed OmranSoftware Engineer, GooglePotvrđena adresa e-pošte na google.com
Harry LevineQuantum Research Scientist, AWS Center for Quantum ComputingPotvrđena adresa e-pošte na amazon.com
Richard KuengJohannes Kepler University Linz, AustriaPotvrđena adresa e-pošte na jku.at
Hsin-Yuan Huang (Robert)California Institute of TechnologyPotvrđena adresa e-pošte na caltech.edu
Victor V. AlbertQuICS @ NIST & University of MarylandPotvrđena adresa e-pošte na umd.edu
John PreskillRichard P. Feynman Professor of Theoretical Physics, California Institute of TechnologyPotvrđena adresa e-pošte na caltech.edu

Prati

Giacomo Torlai

AWS Center for Quantum Computing

Potvrđena adresa e-pošte na amazon.com

Quantum Computing Tensor Networks Machine Learning Condensed Matter Physics


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Neural-network quantum state tomography G Torlai, G Mazzola, J Carrasquilla, M Troyer, R Melko, G Carleo Nature Physics 14 (5), 447, 2018	659	2018
Learning thermodynamics with Boltzmann machines G Torlai, RG Melko Physical Review B 94 (16), 165134, 2016	259	2016
Reconstructing quantum states with generative models J Carrasquilla, G Torlai, RG Melko, L Aolita Nature Machine Intelligence 1 (3), 155-161, 2019	221	2019
Neural decoder for topological codes G Torlai, RG Melko Physical review letters 119 (3), 030501, 2017	170	2017
Latent space purification via neural density operators G Torlai, RG Melko Physical review letters 120 (24), 240503, 2018	119	2018
Integrating neural networks with a quantum simulator for state reconstruction G Torlai, B Timar, EPL Van Nieuwenburg, H Levine, A Omran, A Keesling, ... Physical review letters 123 (23), 230504, 2019	105	2019
Provably efficient machine learning for quantum many-body problems HY Huang, R Kueng, G Torlai, VV Albert, J Preskill Science 377 (6613), eabk3333, 2022	77	2022
NetKet: A machine learning toolkit for many-body quantum systems G Carleo, K Choo, D Hofmann, JET Smith, T Westerhout, F Alet, EJ Davis, ... SoftwareX 10, 100311, 2019	77	2019
Machine-Learning Quantum States in the NISQ Era G Torlai, RG Melko Annual Review of Condensed Matter Physics 11, 325-344, 2020	69	2020
Precise measurement of quantum observables with neural-network estimators G Torlai, G Mazzola, G Carleo, A Mezzacapo Physical Review Research 2 (2), 022060, 2020	60	2020
Dynamics of the entanglement spectrum in spin chains G Torlai, L Tagliacozzo, G De Chiara Journal of Statistical Mechanics: Theory and Experiment 2014 (06), P06001, 2014	49	2014
Learnability scaling of quantum states: Restricted Boltzmann machines D Sehayek, A Golubeva, MS Albergo, B Kulchytskyy, G Torlai, RG Melko Physical Review B 100 (19), 195125, 2019	38	2019
Quantum process tomography with unsupervised learning and tensor networks G Torlai, CJ Wood, A Acharya, G Carleo, J Carrasquilla, L Aolita arXiv preprint arXiv:2006.02424, 2020	32	2020
Wave-function positivization via automatic differentiation G Torlai, J Carrasquilla, MT Fishman, RG Melko, MPA Fisher Physical Review Research 2 (3), 032060, 2020	31	2020
QuCumber: wavefunction reconstruction with neural networks MJS Beach, I De Vlugt, A Golubeva, P Huembeli, B Kulchytskyy, X Luo, ... SciPost Physics 7 (1), 009, 2019	29	2019
How to use neural networks to investigate quantum many-body physics J Carrasquilla, G Torlai PRX Quantum 2 (4), 040201, 2021	27*	2021
Simulating a measurement-induced phase transition for trapped-ion circuits S Czischek, G Torlai, S Ray, R Islam, RG Melko Physical Review A 104 (6), 062405, 2021	16	2021
Violation of Bell's inequalities with preamplified homodyne detection G Torlai, G McKeown, P Marek, R Filip, H Jeong, M Paternostro, ... Physical Review A 87 (5), 052112, 2013	12	2013
Augmenting quantum mechanics with artificial intelligence G Torlai University of Waterloo, 2018	6	2018
Schmidt gap in random spin chains G Torlai, KD McAlpine, G De Chiara Physical Review B 98 (8), 085153, 2018	4	2018

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