Alejandro Perdomo-Ortiz

According to our database, Alejandro Perdomo-Ortiz authored at least 15 papers between 2011 and 2023.

Collaborative distances:

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

2023

Symmetric tensor networks for generative modeling and constrained combinatorial optimization.

Javier Lopez-Piqueres, Jing Chen, Alejandro Perdomo-Ortiz

Mach. Learn. Sci. Technol., September, 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

Generative Learning of Continuous Data by Tensor Networks.

Alex Meiburg, Jing Chen, Jacob Miller, Raphaëlle Tihon, Guillaume Rabusseau, Alejandro Perdomo-Ortiz

CoRR, 2023

A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models.

Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla, Alejandro Perdomo-Ortiz

CoRR, 2023

2022

Do Quantum Circuit Born Machines Generalize?

Kaitlin Gili, Mohamed Hibat-Allah, Marta Mauri, Chris Ballance, Alejandro Perdomo-Ortiz

CoRR, 2022

Evaluating Generalization in Classical and Quantum Generative Models.

Kaitlin Gili, Marta Mauri, Alejandro Perdomo-Ortiz

CoRR, 2022

2021

Robust implementation of generative modeling with parametrized quantum circuits.

Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz, Oscar J. Perdomo

Quantum Mach. Intell., 2021

Entanglement types for two-qubit states with real amplitudes.

Oscar J. Perdomo, Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz

Quantum Inf. Process., 2021

2020

Classical versus quantum models in machine learning: insights from a finance application.

Javier Alcazar, Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz

Mach. Learn. Sci. Technol., 2020

2017

A NASA perspective on quantum computing: Opportunities and challenges.

Rupak Biswas, Zhang Jiang, Kostya Kechezhi, Sergey Knysh, Salvatore Mandrà, Bryan O'Gorman, Alejandro Perdomo-Ortiz, Andre Petukhov, John Realpe-Gomez, Eleanor Gilbert Rieffel, Davide Venturelli, Fedir Vasko, Zhihui Wang

Parallel Comput., 2017

Quantum-assisted Helmholtz machines: A quantum-classical deep learning framework for industrial datasets in near-term devices.

Marcello Benedetti, John Realpe-Gómez, Alejandro Perdomo-Ortiz

CoRR, 2017

Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers.

Alejandro Perdomo-Ortiz, Marcello Benedetti, John Realpe-Gómez, Rupak Biswas

CoRR, 2017

2016

Quantum-assisted learning of graphical models with arbitrary pairwise connectivity.

Marcello Benedetti, John Realpe-Gomez, Rupak Biswas, Alejandro Perdomo-Ortiz

CoRR, 2016

2014

Bayesian Network Structure Learning Using Quantum Annealing.

Bryan O'Gorman, Alejandro Perdomo-Ortiz, Ryan Babbush, Alán Aspuru-Guzik, Vadim Smelyanskiy

CoRR, 2014

2011

A study of heuristic guesses for adiabatic quantum computation.

Alejandro Perdomo-Ortiz, Salvador E. Venegas-Andraca, Alán Aspuru-Guzik

Quantum Inf. Process., 2011