Alejandro Perdomo‐Ortiz

Author

Ames Research Center ORCID

Also Known As

A. Perdomo-Ortiz, Alejandro Perdomo-Ortiz, Alejandro Perdomo‐Ortiz, Perdomo-Ortiz, A., Perdomo-Ortiz, Alejandro

Publications

3.1K

Citations

H-Index

Concepts

All Affiliations

Ames Research Center Zapata (United States)Harvard University University College London Stinger Ghaffarian Technologies (United States)

About

Alejandro Perdomo‐Ortiz is an author at Ames Research Center specializing in engineering, quantum computing, and quantum science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	15	1.4K
2	Natural Sciences	6	6	653
3	Biochemistry	2	2	235
4	Applied Physics	1	1	23
5	Biomolecular Engineering	1	1	105

Alejandro Perdomo‐Ortiz

Publications

Citations

H-Index

Page 1

	Year	Citations
Finding low-energy conformations of lattice protein models by quantum annealing Alejandro Perdomo‐Ortiz, Neil G. Dickson, Marshall Drew-Brook, Scientific Reports	2012	374
Simulating Chemistry Using Quantum Computers Ivan Kassal, James Whitfield, Alejandro Perdomo‐Ortiz, Annual Review of Physical Chemistry Quantum ScienceEngineeringQuantum ComputingPhysicsQuantum Optimization Algorithm	2011	346
A generative modeling approach for benchmarking and training shallow quantum circuits Marcello Benedetti, Delfina Garcia-Pintos, Óscar Perdomo, npj Quantum Information	2019	327
Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers Alejandro Perdomo‐Ortiz, Marcello Benedetti, John Realpe-Gómez, Quantum Science and Technology	2018	251
Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning Marcello Benedetti, John Realpe-Gómez, Rupak Biswas, Physical review. A/Physical review, A EngineeringMachine LearningQuantum SensingQuantum AnnealerQuantum Computing	2016	210
Training of quantum circuits on a hybrid quantum computer Daiwei Zhu, Norbert M. Linke, Marcello Benedetti, Science Advances Quantum ScienceEngineeringQuantum ComputingData ScienceMachine Learning	2019	208
Conformation of self-assembled porphyrin dimers in liposome vesicles by phase-modulation 2D fluorescence spectroscopy Geoffrey A. Lott, Alejandro Perdomo‐Ortiz, James K. Utterback, Proceedings of the National Academy of Sciences Proteinlipid InteractionBiochemistryNatural SciencesPhase-modulation 2DMolecular Biology	2011	130
Strengths and weaknesses of weak-strong cluster problems: A detailed overview of state-of-the-art classical heuristics versus quantum approaches Salvatore Mandrà, Zheng Zhu, Wenlong Wang, Physical review. A/Physical review, A	2016	109
A study of heuristic guesses for adiabatic quantum computation Alejandro Perdomo‐Ortiz, Salvador E. Venegas-Andraca, Alán Aspuru‐Guzik Quantum Information Processing Quantum ScienceEngineeringQuantum ComputingQuantum Optimization AlgorithmQuantum Algorithm	2010	106
Conformation and Electronic Population Transfer in Membrane-Supported Self-Assembled Porphyrin Dimers by 2D Fluorescence Spectroscopy Alejandro Perdomo‐Ortiz, Julia R. Widom, Geoffrey A. Lott, The Journal of Physical Chemistry B Proteinlipid InteractionEngineeringExcitation Energy TransferChemistryAnalytical Ultracentrifugation	2012	105

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