Alejandro Perdomo-Ortiz

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 13

Top Topics

Generative Model

Quantum Computing

Top Venues

Mach. Learn. Sci. Technol.

Quantum Mach. Intell.

Parallel Comput.

Publications

Alex Meiburg, Jing Chen, Jacob Miller, Raphaëlle Tihon, Guillaume Rabusseau, Alejandro Perdomo-Ortiz
Generative Learning of Continuous Data by Tensor Networks. CoRR (2023)
Javier Lopez-Piqueres, Jing Chen, Alejandro Perdomo-Ortiz
Symmetric tensor networks for generative modeling and constrained combinatorial optimization. Mach. Learn. Sci. Technol. 4 (3) (2023)
Dmitri Iouchtchenko, Jérôme F. Gonthier, Alejandro Perdomo-Ortiz, Roger G. Melko
Neural network enhanced measurement efficiency for molecular groundstates. Mach. Learn. Sci. Technol. 4 (1) (2023)
Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla, Alejandro Perdomo-Ortiz
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models. CoRR (2023)
Kaitlin Gili, Marta Mauri, Alejandro Perdomo-Ortiz
Evaluating Generalization in Classical and Quantum Generative Models. CoRR (2022)
Kaitlin Gili, Mohamed Hibat-Allah, Marta Mauri, Chris Ballance, Alejandro Perdomo-Ortiz
Do Quantum Circuit Born Machines Generalize? CoRR (2022)
Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz, Oscar J. Perdomo
Robust implementation of generative modeling with parametrized quantum circuits. Quantum Mach. Intell. 3 (1) (2021)
Oscar J. Perdomo, Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz
Entanglement types for two-qubit states with real amplitudes. Quantum Inf. Process. 20 (3) (2021)
Javier Alcazar, Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz
Classical versus quantum models in machine learning: insights from a finance application. Mach. Learn. Sci. Technol. 1 (3) (2020)
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
A NASA perspective on quantum computing: Opportunities and challenges. Parallel Comput. 64 (2017)
Marcello Benedetti, John Realpe-Gómez, Alejandro Perdomo-Ortiz
Quantum-assisted Helmholtz machines: A quantum-classical deep learning framework for industrial datasets in near-term devices. CoRR (2017)
Alejandro Perdomo-Ortiz, Marcello Benedetti, John Realpe-Gómez, Rupak Biswas
Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers. CoRR (2017)
Marcello Benedetti, John Realpe-Gomez, Rupak Biswas, Alejandro Perdomo-Ortiz
Quantum-assisted learning of graphical models with arbitrary pairwise connectivity. CoRR (2016)
Bryan O'Gorman, Alejandro Perdomo-Ortiz, Ryan Babbush, Alán Aspuru-Guzik, Vadim Smelyanskiy
Bayesian Network Structure Learning Using Quantum Annealing. CoRR (2014)
Alejandro Perdomo-Ortiz, Salvador E. Venegas-Andraca, Alán Aspuru-Guzik
A study of heuristic guesses for adiabatic quantum computation. Quantum Inf. Process. 10 (1) (2011)