Folgen
Alejandro Perdomo-Ortiz
Alejandro Perdomo-Ortiz
--
Bestätigte E-Mail-Adresse bei post.harvard.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
4342012
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
4122011
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
3292005
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
3202019
Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning
M Benedetti, J Realpe-Gómez, R Biswas, A Perdomo-Ortiz
Physical Review A 94 (2), 022308, 2016
2712016
Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers
A Perdomo-Ortiz, M Benedetti, J Realpe-Gómez, R Biswas
Quantum Science and Technology 3 (3), 030502, 2018
2642018
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
2362019
Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models
M Benedetti, J Realpe-Gómez, R Biswas, A Perdomo-Ortiz
Physical Review X 7 (4), 041052, 2017
209*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
1452011
Strengths and weaknesses of weak-strong cluster problems: A detailed overview of state-of-the-art classical heuristics versus quantum approaches
S Mandrà, Z Zhu, W Wang, A Perdomo-Ortiz, HG Katzgraber
Physical Review A 94 (2), 022337, 2016
1352016
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
1222008
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
1172022
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
1172011
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
1162017
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
1142015
Quantum-assisted helmholtz machines: a quantum–classical deep learning framework for industrial datasets in near-term devices
M Benedetti, J Realpe-Gómez, A Perdomo-Ortiz
Quantum Science and Technology 3 (3), 034007, 2018
1082018
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
1012015
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
872012
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
752020
Readiness of quantum optimization machines for industrial applications
A Perdomo-Ortiz, A Feldman, A Ozaeta, SV Isakov, Z Zhu, B O’Gorman, ...
Physical Review Applied 12 (1), 014004, 2019
722019
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20