Roger G. Melko

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Juan Felipe Carrasquilla ÁlvarezETH ZürichVerified email at ethz.ch
Giacomo TorlaiAWS Center for Quantum ComputingVerified email at amazon.com
Michel GingrasProfessor, Department of Physics & Astronomy, University of WaterlooVerified email at uwaterloo.ca
Ann B KallinDepartment of Physics, University of WaterlooVerified email at uwaterloo.ca
Stephen C InglisPostdoctoral Researcher, University of Munich (LMU)Verified email at physik.uni-muenchen.de
Lauren E. HaywardTeaching Faculty, Perimeter Institute; Adjunct Assistant Professor, University of WaterlooVerified email at perimeterinstitute.ca
Rajiv R. P. SinghProfessor Physics, University of California at DavisVerified email at physics.ucdavis.edu
Anton BurkovProfessor of Physics, University of Waterloo & Associate Faculty, Perimeter InstituteVerified email at uwaterloo.ca
Ribhu KaulProfessor of Physics, The Pennsylvania State UniversityVerified email at psu.edu
Bohdan KulchytskyyLead Scientist at 1QB Information Technologies, Inc.Verified email at uwaterloo.ca
Anders SandvikProfessor of Physics, Boston UniversityVerified email at buphy.bu.edu
Giuseppe CarleoAssociate Professor of Physics - EPFL, Lausanne, SwitzerlandVerified email at epfl.ch
Subir SachdevHerchel Smith Professor of Physics, Harvard UniversityVerified email at g.harvard.edu
Steven T BramwellUniversity College LondonVerified email at ucl.ac.uk
Sergei IsakovGoogleVerified email at google.com
Adrian Del MaestroUniversity of Tennessee, KnoxvilleVerified email at utk.edu
tom fennellPaul Scherrer InstitutVerified email at psi.ch
Guglielmo MazzolaUniversity of ZurichVerified email at uzh.ch
Matthias TroyerMicrosoft QuantumVerified email at microsoft.com
Matthew J. S. BeachApplied Scientist, AWSVerified email at amazon.com

Roger G. Melko

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

Verified email at uwaterloo.ca - Homepage

Condensed Matter Theory Quantum Information Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Machine learning phases of matter J Carrasquilla, RG Melko Nature Physics 13 (5), 431-434, 2017	1603	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	935	2018
Quantum boltzmann machine MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko Physical Review X 8 (2), 021050, 2018	672	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	455	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	419	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	337	2019
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
Learning thermodynamics with Boltzmann machines G Torlai, RG Melko Physical Review B 94 (16), 165134, 2016	301	2016
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
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
Recurrent neural network wave functions M Hibat-Allah, M Ganahl, LE Hayward, RG Melko, J Carrasquilla Physical Review Research 2 (2), 023358, 2020	251	2020
Scaling in the fan of an unconventional quantum critical point RG Melko, RK Kaul Physical review letters 100 (1), 017203, 2008	248	2008
Restricted Boltzmann machines in quantum physics RG Melko, G Carleo, J Carrasquilla, JI Cirac Nature Physics 15 (9), 887-892, 2019	217	2019
Neural decoder for topological codes G Torlai, RG Melko Physical review letters 119 (3), 030501, 2017	217	2017
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	187	2021

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