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
Matthew B HastingsVerified email at microsoft.com
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
Anton BurkovProfessor of Physics, University of Waterloo & Associate Faculty, Perimeter InstituteVerified email at uwaterloo.ca
Rajiv R. P. SinghProfessor Physics, University of California at DavisVerified email at physics.ucdavis.edu
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
Mohamed HIBAT-ALLAHAssistant professor, University of WaterlooVerified email at uwaterloo.ca
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

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	1687	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	998	2018
Quantum boltzmann machine MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko Physical Review X 8 (2), 021050, 2018	722	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	474	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	430	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	386	2017
Reconstructing quantum states with generative models J Carrasquilla, G Torlai, RG Melko, L Aolita Nature Machine Intelligence 1 (3), 155-161, 2019	364	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
Learning thermodynamics with Boltzmann machines G Torlai, RG Melko Physical Review B 94 (16), 165134, 2016	313	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	312	2005
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	274	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	255	2002
Scaling in the fan of an unconventional quantum critical point RG Melko, RK Kaul Physical review letters 100 (1), 017203, 2008	250	2008
Neural decoder for topological codes G Torlai, RG Melko Physical review letters 119 (3), 030501, 2017	233	2017
Restricted Boltzmann machines in quantum physics RG Melko, G Carleo, J Carrasquilla, JI Cirac Nature Physics 15 (9), 887-892, 2019	232	2019
Commercial applications of quantum computing F Bova, A Goldfarb, RG Melko EPJ quantum technology 8 (1), 2, 2021	230	2021
Machine learning vortices at the Kosterlitz-Thouless transition MJS Beach, A Golubeva, RG Melko Physical Review B 97 (4), 045207, 2018	194	2018

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