Alejandro Perdomo-Ortiz

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models.
CoRR
Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla, Alejandro Perdomo-Ortiz
2023 J jnl
Generative Learning of Continuous Data by Tensor Networks.
CoRR
Alex Meiburg, Jing Chen, Jacob Miller, Raphaëlle Tihon, Guillaume Rabusseau, Alejandro Perdomo-Ortiz
2023 J jnl
Neural network enhanced measurement efficiency for molecular groundstates.
Mach. Learn. Sci. Technol.
Dmitri Iouchtchenko, Jérôme F. Gonthier, Alejandro Perdomo-Ortiz, Roger G. Melko
2023 J jnl
Symmetric tensor networks for generative modeling and constrained combinatorial optimization.
Mach. Learn. Sci. Technol.
Javier Lopez-Piqueres, Jing Chen, Alejandro Perdomo-Ortiz
2022 J jnl
Do Quantum Circuit Born Machines Generalize?
CoRR
Kaitlin Gili, Mohamed Hibat-Allah, Marta Mauri, Chris Ballance, Alejandro Perdomo-Ortiz
2022 J jnl
Evaluating Generalization in Classical and Quantum Generative Models.
CoRR
Kaitlin Gili, Marta Mauri, Alejandro Perdomo-Ortiz
2021 J jnl
Entanglement types for two-qubit states with real amplitudes.
Quantum Inf. Process.
Oscar J. Perdomo, Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz
2021 J jnl
Robust implementation of generative modeling with parametrized quantum circuits.
Quantum Mach. Intell.
Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz, Oscar J. Perdomo
2020 J jnl
Classical versus quantum models in machine learning: insights from a finance application.
Mach. Learn. Sci. Technol.
Javier Alcazar, Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz
2017 J jnl
A NASA perspective on quantum computing: Opportunities and challenges.
Parallel Comput.
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
2017 J jnl
Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers.
CoRR
Alejandro Perdomo-Ortiz, Marcello Benedetti, John Realpe-Gómez, Rupak Biswas
2017 J jnl
Quantum-assisted Helmholtz machines: A quantum-classical deep learning framework for industrial datasets in near-term devices.
CoRR
Marcello Benedetti, John Realpe-Gómez, Alejandro Perdomo-Ortiz
2016 J jnl
Quantum-assisted learning of graphical models with arbitrary pairwise connectivity.
CoRR
Marcello Benedetti, John Realpe-Gomez, Rupak Biswas, Alejandro Perdomo-Ortiz
2014 J jnl
Bayesian Network Structure Learning Using Quantum Annealing.
CoRR
Bryan O'Gorman, Alejandro Perdomo-Ortiz, Ryan Babbush, Alán Aspuru-Guzik, Vadim Smelyanskiy
2011 J jnl
A study of heuristic guesses for adiabatic quantum computation.
Quantum Inf. Process.
Alejandro Perdomo-Ortiz, Salvador E. Venegas-Andraca, Alán Aspuru-Guzik