Roger G. Melko

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Juan Felipe Carrasquilla ÁlvarezVector Institute for Artificial Intelligence. Canada CIFAR AI chairE-mailová adresa ověřena na: vectorinstitute.ai
Giacomo TorlaiAWS Center for Quantum ComputingE-mailová adresa ověřena na: amazon.com
Michel GingrasProfessor and Canada Research Chair, Department of Physics & Astronomy, University of WaterlooE-mailová adresa ověřena na: uwaterloo.ca
Ann B KallinDepartment of Physics, University of WaterlooE-mailová adresa ověřena na: uwaterloo.ca
Stephen C InglisPostdoctoral Researcher, University of Munich (LMU)E-mailová adresa ověřena na: physik.uni-muenchen.de
Rajiv R. P. SinghProfessor Physics, University of California at DavisE-mailová adresa ověřena na: physics.ucdavis.edu
Anton BurkovProfessor of Physics, University of Waterloo & Associate Faculty, Perimeter InstituteE-mailová adresa ověřena na: uwaterloo.ca
Bohdan KulchytskyySenior Scientist at 1QBitE-mailová adresa ověřena na: uwaterloo.ca
Steven T BramwellUniversity College LondonE-mailová adresa ověřena na: ucl.ac.uk
Sergei IsakovGoogleE-mailová adresa ověřena na: google.com
Anders SandvikProfessor of Physics, Boston UniversityE-mailová adresa ověřena na: buphy.bu.edu
Giuseppe CarleoAssistant Professor of Computational Quantum Science - EPFL, Lausanne, SwitzerlandE-mailová adresa ověřena na: epfl.ch
Subir SachdevHerchel Smith Professor of Physics, Harvard UniversityE-mailová adresa ověřena na: g.harvard.edu
tom fennellPaul Scherrer InstitutE-mailová adresa ověřena na: psi.ch
Adrian Del MaestroUniversity of Tennessee, KnoxvilleE-mailová adresa ověřena na: utk.edu
Mark HarrisUniversity of EdinburghE-mailová adresa ověřena na: ed.ac.uk
Stefan WesselProfessor for Theoretical Physics @ RWTH Aachen UniversityE-mailová adresa ověřena na: physik.rwth-aachen.de
Matthew J. S. BeachQuantum Applied Scientist, Zapata ComputingE-mailová adresa ověřena na: zapatacomputing.com
Guglielmo MazzolaUniversity of ZurichE-mailová adresa ověřena na: uzh.ch
Matthias TroyerMicrosoft QuantumE-mailová adresa ověřena na: microsoft.com

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Roger G. Melko

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

E-mailová adresa ověřena na: uwaterloo.ca - Domovská stránka

Condensed Matter Theory Quantum Information Machine Learning


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
Machine learning phases of matter J Carrasquilla, RG Melko Nature Physics 13 (5), 431-434, 2017	1446	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	804	2018
Quantum boltzmann machine MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko Physical Review X 8 (2), 021050, 2018	564	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	419	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	406	2001
Machine learning phases of strongly correlated fermions K Ch’Ng, J Carrasquilla, RG Melko, E Khatami Physical Review X 7 (3), 031038, 2017	405	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	366	2017
Long-Range Order at Low Temperatures in Dipolar Spin Ice RG Melko, BC den Hertog, MJP Gingras Physical Review Letters 87 (06), 2003	335	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	287	2005
Learning thermodynamics with Boltzmann machines G Torlai, RG Melko Physical Review B 94 (16), 165134, 2016	282	2016
Reconstructing quantum states with generative models J Carrasquilla, G Torlai, RG Melko, L Aolita Nature Machine Intelligence 1 (3), 155-161, 2019	277	2019
Topological entanglement entropy of a Bose–Hubbard spin liquid SV Isakov, MB Hastings, RG Melko Nature Physics 7 (10), 772-775, 2011	276	2011
Monte Carlo studies of the dipolar spin ice model RG Melko, MJP Gingras Journal of Physics: Condensed Matter 16 (43), R1277, 2004	265	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	241	2002
Scaling in the fan of an unconventional quantum critical point RG Melko, RK Kaul Physical review letters 100 (1), 017203, 2008	235	2008
Neural decoder for topological codes G Torlai, RG Melko Physical review letters 119 (3), 030501, 2017	191	2017
Recurrent neural network wave functions M Hibat-Allah, M Ganahl, LE Hayward, RG Melko, J Carrasquilla Physical Review Research 2 (2), 023358, 2020	181	2020
Restricted Boltzmann machines in quantum physics RG Melko, G Carleo, J Carrasquilla, JI Cirac Nature Physics 15 (9), 887-892, 2019	179	2019
Machine learning vortices at the Kosterlitz-Thouless transition MJS Beach, A Golubeva, RG Melko Physical Review B 97 (4), 045207, 2018	177	2018
Hard-core bosons on the kagome lattice: Valence-bond solids and their quantum melting SV Isakov, S Wessel, RG Melko, K Sengupta, YB Kim Physical review letters 97 (14), 147202_1-217001_4, 2006	166	2006

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