Roger G. Melko

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Juan Felipe Carrasquilla ÁlvarezETH ZürichEmail verificata su ethz.ch
Giacomo TorlaiAWS Center for Quantum ComputingEmail verificata su amazon.com
Michel GingrasProfessor, Department of Physics & Astronomy, University of WaterlooEmail verificata su uwaterloo.ca
Matthew B HastingsEmail verificata su microsoft.com
Ann B KallinDepartment of Physics, University of WaterlooEmail verificata su uwaterloo.ca
Stephen C InglisPostdoctoral Researcher, University of Munich (LMU)Email verificata su physik.uni-muenchen.de
Lauren E. HaywardTeaching Faculty, Perimeter Institute; Adjunct Assistant Professor, University of WaterlooEmail verificata su perimeterinstitute.ca
Anton BurkovProfessor of Physics, University of Waterloo & Associate Faculty, Perimeter InstituteEmail verificata su uwaterloo.ca
Rajiv R. P. SinghProfessor Physics, University of California at DavisEmail verificata su physics.ucdavis.edu
Ribhu KaulProfessor of Physics, The Pennsylvania State UniversityEmail verificata su psu.edu
Bohdan KulchytskyyLead Scientist at 1QB Information Technologies, Inc.Email verificata su uwaterloo.ca
Anders SandvikProfessor of Physics, Boston UniversityEmail verificata su buphy.bu.edu
Mohamed HIBAT-ALLAHAssistant professor, University of WaterlooEmail verificata su uwaterloo.ca
Giuseppe CarleoAssociate Professor of Physics - EPFL, Lausanne, SwitzerlandEmail verificata su epfl.ch
Subir SachdevHerchel Smith Professor of Physics, Harvard UniversityEmail verificata su g.harvard.edu
Steven T BramwellUniversity College LondonEmail verificata su ucl.ac.uk
Sergei IsakovGoogleEmail verificata su google.com
Adrian Del MaestroUniversity of Tennessee, KnoxvilleEmail verificata su utk.edu
tom fennellPaul Scherrer InstitutEmail verificata su psi.ch
Guglielmo MazzolaUniversity of ZurichEmail verificata su uzh.ch

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Roger G. Melko

Faculty, University of Waterloo & Perimeter Institute; Affiliate, Vector Institute

Email verificata su uwaterloo.ca - Home page

Condensed Matter Theory Quantum Information Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Machine learning phases of matter J Carrasquilla, RG Melko Nature Physics 13 (5), 431-434, 2017	1668	2017
Neural-network quantum state tomography G Torlai, G Mazzola, J Carrasquilla, M Troyer, R Melko, G Carleo Nature physics 14 (5), 447-450, 2018	986	2018
Quantum boltzmann machine MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko Physical Review X 8 (2), 021050, 2018	719	2018
Measuring Renyi entanglement entropy in quantum Monte Carlo simulations MB Hastings, I González, AB Kallin, RG Melko Physical review letters 104 (15), 157201, 2010	470	2010
Machine learning phases of strongly correlated fermions K Ch’Ng, J Carrasquilla, RG Melko, E Khatami Physical Review X 7 (3), 031038, 2017	434	2017
Spin Correlations in Ho Ti O : a Dipolar Spin Ice System ST Bramwell, MJ Harris, BC Hertog, MJP Gingras, JS Gardner, ... Arxiv preprint cond-mat/0101114, 2001	428	2001
Machine learning quantum phases of matter beyond the fermion sign problem P Broecker, J Carrasquilla, RG Melko, S Trebst Scientific reports 7 (1), 8823, 2017	384	2017
Reconstructing quantum states with generative models J Carrasquilla, G Torlai, RG Melko, L Aolita Nature Machine Intelligence 1 (3), 155-161, 2019	360	2019
Long-Range Order at Low Temperatures in Dipolar Spin Ice RG Melko, BC den Hertog, MJP Gingras Physical Review Letters 87 (06), 2003	344	2003
Supersolid order from disorder: Hard-core bosons on the triangular lattice RG Melko, A Paramekanti, AA Burkov, A Vishwanath, DN Sheng, ... Physical review letters 95 (12), 127207, 2005	311	2005
Learning thermodynamics with Boltzmann machines G Torlai, RG Melko Physical Review B 94 (16), 165134, 2016	309	2016
Topological entanglement entropy of a Bose–Hubbard spin liquid SV Isakov, MB Hastings, RG Melko Nature Physics 7 (10), 772-775, 2011	296	2011
Monte Carlo studies of the dipolar spin ice model RG Melko, MJP Gingras Journal of Physics: Condensed Matter 16 (43), R1277, 2004	292	2004
Recurrent neural network wave functions M Hibat-Allah, M Ganahl, LE Hayward, RG Melko, J Carrasquilla Physical Review Research 2 (2), 023358, 2020	271	2020
Magnetic anisotropy of the spin-ice compound Dy 2 Ti 2 O 7 H Fukazawa, RG Melko, R Higashinaka, Y Maeno, MJP Gingras Physical Review B 65 (5), 054410, 2002	254	2002
Scaling in the fan of an unconventional quantum critical point RG Melko, RK Kaul Physical review letters 100 (1), 017203, 2008	250	2008
Restricted Boltzmann machines in quantum physics RG Melko, G Carleo, J Carrasquilla, JI Cirac Nature Physics 15 (9), 887-892, 2019	231	2019
Neural decoder for topological codes G Torlai, RG Melko Physical review letters 119 (3), 030501, 2017	229	2017
Commercial applications of quantum computing F Bova, A Goldfarb, RG Melko EPJ quantum technology 8 (1), 2, 2021	225	2021
Machine learning vortices at the Kosterlitz-Thouless transition MJS Beach, A Golubeva, RG Melko Physical Review B 97 (4), 045207, 2018	193	2018

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