Akses publik

Restricted Boltzmann machines in quantum physics

RG Melko, G Carleo, J Carrasquilla, JI Cirac

Nature Physics 15 (9), 887-892, 2019

Mandat: US National Science Foundation, Natural Sciences and Engineering Research …

Language models for quantum simulation

RG Melko, J Carrasquilla

Nature Computational Science 4 (1), 11-18, 2024

Mandat: Natural Sciences and Engineering Research Council of Canada

Self-correction in Wegner's three-dimensional Ising lattice gauge theory

D Poulin, RG Melko, MB Hastings

Physical Review B 99 (9), 094103, 2019

Mandat: Natural Sciences and Engineering Research Council of Canada

Variational neural annealing

HA Mohamed, EM Inack, W Roeland, RG Melko, C Juan

Nature Machine Intelligence 3 (11), 952-961, 2021

Mandat: Natural Sciences and Engineering Research Council of Canada

Tersedia di suatu tempat: 75

[HTML] nature.com

Machine learning phases of matter

J Carrasquilla, RG Melko

Nature Physics 13 (5), 431-434, 2017

Mandat: Natural Sciences and Engineering Research Council of Canada

Neural-network quantum state tomography

G Torlai, G Mazzola, J Carrasquilla, M Troyer, R Melko, G Carleo

Nature physics 14 (5), 447-450, 2018

Mandat: Swiss National Science Foundation, Natural Sciences and Engineering Research …

Quantum boltzmann machine

MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko

Physical Review X 8 (2), 021050, 2018

Mandat: Natural Sciences and Engineering Research Council of Canada

Machine learning phases of strongly correlated fermions

K Ch’Ng, J Carrasquilla, RG Melko, E Khatami

Physical Review X 7 (3), 031038, 2017

Mandat: US National Science Foundation, Natural Sciences and Engineering Research …

[HTML] nature.com

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

Mandat: Natural Sciences and Engineering Research Council of Canada, German Research …

Reconstructing quantum states with generative models

J Carrasquilla, G Torlai, RG Melko, L Aolita

Nature Machine Intelligence 1 (3), 155-161, 2019

Mandat: Natural Sciences and Engineering Research Council of Canada

Learning thermodynamics with Boltzmann machines

G Torlai, RG Melko

Physical Review B 94 (16), 165134, 2016

Mandat: Natural Sciences and Engineering Research Council of Canada

Recurrent neural network wave functions

M Hibat-Allah, M Ganahl, LE Hayward, RG Melko, J Carrasquilla

Physical Review Research 2 (2), 023358, 2020

Mandat: US National Science Foundation, Natural Sciences and Engineering Research …

Neural decoder for topological codes

G Torlai, RG Melko

Physical review letters 119 (3), 030501, 2017

Mandat: US National Science Foundation, Natural Sciences and Engineering Research …

[PDF] springer.com

Commercial applications of quantum computing

F Bova, A Goldfarb, RG Melko

EPJ quantum technology 8 (1), 2, 2021

Mandat: Natural Sciences and Engineering Research Council of Canada, Social Sciences …

Machine learning vortices at the Kosterlitz-Thouless transition

MJS Beach, A Golubeva, RG Melko

Physical Review B 97 (4), 045207, 2018

Mandat: US National Science Foundation, Natural Sciences and Engineering Research …

Latent space purification via neural density operators

G Torlai, RG Melko

Physical review letters 120 (24), 240503, 2018

Mandat: US National Science Foundation, Natural Sciences and Engineering Research …

[PDF] jmlr.org

Deep learning the ising model near criticality

A Morningstar, RG Melko

Journal of Machine Learning Research 18 (163), 1-17, 2018

Mandat: Natural Sciences and Engineering Research Council of Canada

Kernel methods for interpretable machine learning of order parameters

P Ponte, RG Melko

Physical Review B 96 (20), 205146, 2017

Mandat: Natural Sciences and Engineering Research Council of Canada, Fundação para a …

Integrating neural networks with a quantum simulator for state reconstruction

G Torlai, B Timar, EPL Van Nieuwenburg, H Levine, A Omran, A Keesling, ...

Physical review letters 123 (23), 230504, 2019

Mandat: US National Science Foundation, US Department of Energy, US Department of …