| 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 | 444 | 2012 |
| 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 | 418 | 2011 |
| 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 | 337 | 2019 |
| 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 | 331 | 2005 |
| 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 | 273 | 2018 |
| 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 | 273 | 2016 |
| 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 | 244 | 2019 |
| 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 | 215* | 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 | 147 | 2011 |
| 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 | 138 | 2016 |
| 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 | 127 | 2008 |
| 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 | 124 | 2022 |
| 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 | 124 | 2017 |
| 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 | 122 | 2011 |
| 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 | 115 | 2015 |
| 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 | 110 | 2018 |
| 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 | 101 | 2015 |
| 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 | 89 | 2012 |
| 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 | 79 | 2020 |
| Synergistic pretraining of parametrized quantum circuits via tensor networks MS Rudolph, J Miller, D Motlagh, J Chen, A Acharya, A Perdomo-Ortiz Nature Communications 14 (1), 8367, 2023 | 78* | 2023 |
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