Roger G. Melko

According to our database, Roger G. Melko authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Language models for quantum simulation.

Roger G. Melko, Juan Carrasquilla

Nat. Comput. Sci., 2024

Robust quantum dots charge autotuning using neural network uncertainty.

Victor Yon, Bastien Galaup, Claude Rohrbacher, Joffrey Rivard, Clement Godfrin, Ruoyu Li, Stefan Kubicek, Kristiaan De Greve, Louis Gaudreau, Eva Dupont-Ferrier, Yann Beilliard, Roger G. Melko, Dominique Drouin

Mach. Learn. Sci. Technol., 2024

Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions.

Ian Lu, Hao Jia, Sebastian Gonzalez, Deniz Sogutlu, J. Quetzalcóatl Toledo-Marín, Sehmimul Hoque, Abhishek Abhishek, Colin Gay, Roger G. Melko, Eric Paquet, Geoffrey C. Fox, Maximilian Swiatlowski, Wojciech Fedorko

CoRR, 2024

Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions.

J. Quetzalcóatl Toledo-Marín, Sebastian Gonzalez, Hao Jia, Ian Lu, Deniz Sogutlu, Abhishek Abhishek, Colin Gay, Eric Paquet, Roger G. Melko, Geoffrey C. Fox, Maximilian Swiatlowski, Wojciech Fedorko

CoRR, 2024

Autoregressive model path dependence near Ising criticality.

Yi Hong Teoh, Roger G. Melko

CoRR, 2024

Robust quantum dots charge autotuning using neural networks uncertainty.

Victor Yon, Bastien Galaup, Claude Rohrbacher, Joffrey Rivard, Clement Godfrin, Roy Li, Stefan Kubicek, Kristiaan De Greve, Louis Gaudreau, Eva Dupont-Ferrier, Yann Beilliard, Roger G. Melko, Dominique Drouin

CoRR, 2024

Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice.

Mohamed Hibat-Allah, Ejaaz Merali, Giacomo Torlai, Roger G. Melko, Juan Carrasquilla

CoRR, 2024

Calo4pQVAE: Quantum-Assisted 4-Partite VAE Surrogate for High Energy Particle-Calorimeter Interactions.

Sebastian Gonzalez, Hao Jia, J. Quetzalcóatl Toledo-Marín, Sehmimul Hoque, Abhishek Abhishek, Ian Lu, Deniz Sogutlu, Sören Anderson, Colin Gay, Eric Paquet, Roger G. Melko, Geoffrey C. Fox, Maximilian Swiatlowski, Wojciech Fedorko

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

2023

Neural network enhanced measurement efficiency for molecular groundstates.

Dmitri Iouchtchenko, Jérôme F. Gonthier, Alejandro Perdomo-Ortiz, Roger G. Melko

Mach. Learn. Sci. Technol., March, 2023

Quantum Economic Advantage.

Francesco Bova, Avi Goldfarb, Roger G. Melko

Manag. Sci., February, 2023

CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models.

Sehmimul Hoque, Hao Jia, Abhishek Abhishek, Mojde Fadaie, J. Quetzalcóatl Toledo-Marín, Tiago Vale, Roger G. Melko, Maximilian Swiatlowski, Wojciech T. Fedorko

CoRR, 2023

Investigating Topological Order using Recurrent Neural Networks.

Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla

CoRR, 2023

2022

Twin neural network regression is a semi-supervised regression algorithm.

Sebastian Johann Wetzel, Roger G. Melko, Isaac Tamblyn

Mach. Learn. Sci. Technol., December, 2022

Miniaturizing neural networks for charge state autotuning in quantum dots.

Stefanie Czischek, Victor Yon, Marc-Antoine Genest, Marc-Antoine Roux, Sophie Rochette, Julien Camirand Lemyre, Mathieu Moras, Michel Pioro-Ladriere, Dominique Drouin, Yann Beilliard, Roger G. Melko

Mach. Learn. Sci. Technol., 2022

Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy.

Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla

CoRR, 2022

2021

Variational neural annealing.

Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla

Nat. Mach. Intell., 2021

The accuracy of restricted Boltzmann machine models of Ising systems.

David Yevick, Roger G. Melko

Comput. Phys. Commun., 2021

2020

Twin Neural Network Regression.

Sebastian Johann Wetzel, Kevin Ryczko, Roger G. Melko, Isaac Tamblyn

CoRR, 2020

Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks.

Sebastian Johann Wetzel, Roger G. Melko, Joseph Scott, Maysum Panju, Vijay Ganesh

CoRR, 2020

2019

Author Correction: Reconstructing quantum states with generative models.

Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita

Nat. Mach. Intell., 2019

Reconstructing quantum states with generative models.

Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita

Nat. Mach. Intell., 2019

2017

Deep Learning the Ising Model Near Criticality.

Alan Morningstar, Roger G. Melko

J. Mach. Learn. Res., 2017

2016

Learning Thermodynamics with Boltzmann Machines.

Giacomo Torlai, Roger G. Melko

CoRR, 2016