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Alejandro Perdomo-Ortiz
Alejandro Perdomo-Ortiz
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Verified email at post.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Finding low-energy conformations of lattice protein models by quantum annealing
A Perdomo-Ortiz, N Dickson, M Drew-Brook, G Rose, A Aspuru-Guzik
Scientific reports 2 (1), 1-7, 2012
4102012
Simulating chemistry using quantum computers
I Kassal, JD Whitfield, A Perdomo-Ortiz, MH Yung, A Aspuru-Guzik
Annual review of physical chemistry 62, 185-207, 2011
3832011
Single molecule nanoparticles of the conjugated polymer MEH-PPV, preparation and characterization by near-field scanning optical microscopy
C Szymanski, C Wu, J Hooper, MA Salazar, A Perdomo, A Dukes, ...
The Journal of Physical Chemistry B 109 (18), 8543-8546, 2005
3192005
A generative modeling approach for benchmarking and training shallow quantum circuits
M Benedetti, D Garcia-Pintos, O Perdomo, V Leyton-Ortega, Y Nam, ...
npj Quantum Information 5 (1), 45, 2019
2812019
Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning
M Benedetti, J Realpe-Gˇmez, R Biswas, A Perdomo-Ortiz
Physical Review A 94 (2), 022308, 2016
2562016
Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers
A Perdomo-Ortiz, M Benedetti, J Realpe-Gˇmez, R Biswas
Quantum Science and Technology 3 (3), 030502, 2018
2272018
Training of quantum circuits on a hybrid quantum computer
D Zhu, NM Linke, M Benedetti, KA Landsman, NH Nguyen, CH Alderete, ...
Science Advances 5 (10), eaaw9918, 2019
2132019
Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models
M Benedetti, J Realpe-Gˇmez, R Biswas, A Perdomo-Ortiz
Physical Review X 7 (4), 041052, 2017
189*2017
Conformation of self-assembled porphyrin dimers in liposome vesicles by phase-modulation 2D fluorescence spectroscopy
GA Lott, A Perdomo-Ortiz, JK Utterback, JR Widom, A Aspuru-Guzik, ...
Proceedings of the National Academy of Sciences 108 (40), 16521-16526, 2011
1392011
Strengths and weaknesses of weak-strong cluster problems: A detailed overview of state-of-the-art classical heuristics versus quantum approaches
S MandrÓ, Z Zhu, W Wang, A Perdomo-Ortiz, HG Katzgraber
Physical Review A 94 (2), 022337, 2016
1262016
Construction of model Hamiltonians for adiabatic quantum computation and its application to finding low-energy conformations of lattice protein models
A Perdomo, C Truncik, I Tubert-Brohman, G Rose, A Aspuru-Guzik
Physical Review A 78 (1), 012320, 2008
1132008
A study of heuristic guesses for adiabatic quantum computation
A Perdomo-Ortiz, SE Venegas-Andraca, A Aspuru-Guzik
Quantum Information Processing 10, 33-52, 2011
1102011
Bayesian network structure learning using quantum annealing
B O’Gorman, R Babbush, A Perdomo-Ortiz, A Aspuru-Guzik, ...
The European Physical Journal Special Topics 224, 163-188, 2015
1082015
A NASA perspective on quantum computing: Opportunities and challenges
R Biswas, Z Jiang, K Kechezhi, S Knysh, S Mandra, B O’Gorman, ...
Parallel Computing 64, 81-98, 2017
1062017
Quantum-assisted helmholtz machines: a quantum–classical deep learning framework for industrial datasets in near-term devices
M Benedetti, J Realpe-Gˇmez, A Perdomo-Ortiz
Quantum Science and Technology 3 (3), 034007, 2018
1042018
Generation of high-resolution handwritten digits with an ion-trap quantum computer
MS Rudolph, NB Toussaint, A Katabarwa, S Johri, B Peropadre, ...
Physical Review X 12 (3), 031010, 2022
1032022
A quantum annealing approach for fault detection and diagnosis of graph-based systems
A Perdomo-Ortiz, J Fluegemann, S Narasimhan, R Biswas, ...
The European Physical Journal Special Topics 224, 131-148, 2015
932015
Conformation and electronic population transfer in membrane-supported self-assembled porphyrin dimers by 2D fluorescence spectroscopy
A Perdomo-Ortiz, JR Widom, GA Lott, A Aspuru-Guzik, AH Marcus
The Journal of Physical Chemistry B 116 (35), 10757-10770, 2012
772012
Classical versus quantum models in machine learning: insights from a finance application
J Alcazar, V Leyton-Ortega, A Perdomo-Ortiz
Machine Learning: Science and Technology 1 (3), 035003, 2020
682020
Construction of Energy Functions for Lattice Heteropolymer Models: A Case Study in Constraint Satisfaction Programming and Adiabatic Quantum Optimization
R Babbush, A Perdomo-Ortiz, B O'Gorman, W Macready, A Aspuru-Guzik
arXiv preprint arXiv:1211.3422, 2012
67*2012
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