People / former team

Alejandro Perdomo-Ortiz

Former team member. Former RIACS Quantum team member.

Scholarly output

Publications

Figure-derived thumbnail for A NASA perspective on quantum computing: Opportunities and challenges
2017
Open paper

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-Gómez, Eleanor Rieffel, Davide Venturelli, Fedir Vasko, Zhihui Wang Parallel Computing, 64, 81-98

Figure-derived thumbnail for A Performance Estimator for Quantum Annealers: Gauge selection and Parameter Setting
2015
Open paper

A Performance Estimator for Quantum Annealers: Gauge selection and Parameter Setting

Alejandro Perdomo-Ortiz, Joseph Fluegemann, Rupak Biswas, Vadim N Smelyanskiy arXiv preprint arXiv:1503.01083

Figure-derived thumbnail for A quantum annealing approach for fault detection and diagnosis of graph-based systems
2015
Open paper

A quantum annealing approach for fault detection and diagnosis of graph-based systems

Alejandro Perdomo-Ortiz, Joseph Fluegemann, Sriram Narasimhan, Rupak Biswas, Vadim N Smelyanskiy The European Physical Journal Special Topics, 224(1), 131-148

Figure-derived thumbnail for Bayesian network structure learning using quantum annealing
2015
Open paper

Bayesian network structure learning using quantum annealing

Bryan O’Gorman, Ryan Babbush, Alejandro Perdomo-Ortiz, Alán Aspuru-Guzik, Vadim Smelyanskiy The European Physical Journal Special Topics, 224(1), 163-188

Figure-derived thumbnail for Determination and correction of persistent biases in quantum annealers
2016
Open paper

Determination and correction of persistent biases in quantum annealers

Alejandro Perdomo-Ortiz, Bryan O’Gorman, Joseph Fluegemann, Rupak Biswas, Vadim N Smelyanskiy Scientific reports

Figure-derived thumbnail for Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers
2018
Open paper

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

Alejandro Perdomo-Ortiz, Marcello Benedetti, John Realpe-Gómez, Rupak Biswas Quantum Science and Technology

Figure-derived thumbnail for Quantum annealing via environment-mediated quantum diffusion
2017
Open paper

Quantum annealing via environment-mediated quantum diffusion

Vadim N Smelyanskiy, Davide Venturelli, Alejandro Perdomo-Ortiz, Sergey Knysh, Mark I Dykman Physical review letters

Figure-derived thumbnail for Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models
2017
Open paper

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

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

Figure-derived thumbnail for Readiness of quantum optimization machines for industrial applications
2019
Open paper

Readiness of quantum optimization machines for industrial applications

Alejandro Perdomo-Ortiz, Alexander Feldman, Asier Ozaeta, Sergei V. Isakov, Zheng Zhu, Bryan O’Gorman, Helmut G. Katzgraber, Alexander Diedrich, Hartmut Neven, Johan de Kleer, Brad Lackey, Rupak Biswas Physical Review Applied