Roger G. Melko

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Juan Felipe Carrasquilla ÁlvarezETH ZürichE-mail confirmado em ethz.ch
Giacomo TorlaiAWS Center for Quantum ComputingE-mail confirmado em amazon.com
Michel GingrasProfessor, Department of Physics & Astronomy, University of WaterlooE-mail confirmado em uwaterloo.ca
Ann B KallinDepartment of Physics, University of WaterlooE-mail confirmado em uwaterloo.ca
Stephen C InglisPostdoctoral Researcher, University of Munich (LMU)E-mail confirmado em physik.uni-muenchen.de
Lauren E. HaywardTeaching Faculty, Perimeter Institute; Adjunct Assistant Professor, University of WaterlooE-mail confirmado em perimeterinstitute.ca
Rajiv R. P. SinghProfessor Physics, University of California at DavisE-mail confirmado em physics.ucdavis.edu
Anton BurkovProfessor of Physics, University of Waterloo & Associate Faculty, Perimeter InstituteE-mail confirmado em uwaterloo.ca
Ribhu KaulProfessor of Physics, The Pennsylvania State UniversityE-mail confirmado em psu.edu
Bohdan KulchytskyyLead Scientist at 1QB Information Technologies, Inc.E-mail confirmado em uwaterloo.ca
Anders SandvikProfessor of Physics, Boston UniversityE-mail confirmado em buphy.bu.edu
Giuseppe CarleoAssociate Professor of Physics - EPFL, Lausanne, SwitzerlandE-mail confirmado em epfl.ch
Subir SachdevHerchel Smith Professor of Physics, Harvard UniversityE-mail confirmado em g.harvard.edu
Steven T BramwellUniversity College LondonE-mail confirmado em ucl.ac.uk
Sergei IsakovGoogleE-mail confirmado em google.com
Adrian Del MaestroUniversity of Tennessee, KnoxvilleE-mail confirmado em utk.edu
tom fennellPaul Scherrer InstitutE-mail confirmado em psi.ch
Guglielmo MazzolaUniversity of ZurichE-mail confirmado em uzh.ch
Matthias TroyerMicrosoft QuantumE-mail confirmado em microsoft.com
Matthew J. S. BeachApplied Scientist, AWSE-mail confirmado em amazon.com

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Roger G. Melko

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

E-mail confirmado em uwaterloo.ca - Página inicial

Condensed Matter Theory Quantum Information Machine Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Machine learning phases of matter J Carrasquilla, RG Melko Nature Physics 13 (5), 431-434, 2017	1608	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	940	2018
Quantum boltzmann machine MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko Physical Review X 8 (2), 021050, 2018	677	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	456	2010
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	423	2001
Machine learning phases of strongly correlated fermions K Ch’Ng, J Carrasquilla, RG Melko, E Khatami Physical Review X 7 (3), 031038, 2017	420	2017
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	377	2017
Long-Range Order at Low Temperatures in Dipolar Spin Ice RG Melko, BC den Hertog, MJP Gingras Physical Review Letters 87 (06), 2003	343	2003
Reconstructing quantum states with generative models J Carrasquilla, G Torlai, RG Melko, L Aolita Nature Machine Intelligence 1 (3), 155-161, 2019	340	2019
Learning thermodynamics with Boltzmann machines G Torlai, RG Melko Physical Review B 94 (16), 165134, 2016	304	2016
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	302	2005
Topological entanglement entropy of a Bose–Hubbard spin liquid SV Isakov, MB Hastings, RG Melko Nature Physics 7 (10), 772-775, 2011	293	2011
Monte Carlo studies of the dipolar spin ice model RG Melko, MJP Gingras Journal of Physics: Condensed Matter 16 (43), R1277, 2004	286	2004
Recurrent neural network wave functions M Hibat-Allah, M Ganahl, LE Hayward, RG Melko, J Carrasquilla Physical Review Research 2 (2), 023358, 2020	252	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	252	2002
Scaling in the fan of an unconventional quantum critical point RG Melko, RK Kaul Physical review letters 100 (1), 017203, 2008	249	2008
Neural decoder for topological codes G Torlai, RG Melko Physical review letters 119 (3), 030501, 2017	218	2017
Restricted Boltzmann machines in quantum physics RG Melko, G Carleo, J Carrasquilla, JI Cirac Nature Physics 15 (9), 887-892, 2019	217	2019
Machine learning vortices at the Kosterlitz-Thouless transition MJS Beach, A Golubeva, RG Melko Physical Review B 97 (4), 045207, 2018	191	2018
Commercial applications of quantum computing F Bova, A Goldfarb, RG Melko EPJ quantum technology 8 (1), 2, 2021	190	2021

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