Jarrod R. McClean

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Ryan BabbushHead of Quantum Algorithms - GoogleVerified email at google.com
Alan Aspuru-GuzikProfessor of Chemistry and Computer Science, University of Toronto (starting July 1, 2018)Verified email at utoronto.ca
Hartmut NevenVP Engineering, Quantum AI, GoogleVerified email at google.com
Nathan WiebeUniversity of TorontoVerified email at uw.edu
Peter LoveDepartment of Physics and Astronomy, Tufts UniversityVerified email at tufts.edu
Pete ShadboltVerified email at peteshadbolt.co.uk
Jeremy O'BrienUniversity of BristolVerified email at bristol.ac.uk
Xiaoqi Zhou (周晓祺)Sun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Jhonathan Romero FontalvoTeam lead of professional services at Zapata ComputingVerified email at zapatacomputing.com
Man-Hong YungSouthern University of Science and Technology; Tsinghua University; Harvard UniversityVerified email at sustech.edu.cn
Alberto PeruzzoVice-Chancellor's and DECRA Senior Research Fellow - RMIT UniversityVerified email at rmit.edu.au
Lucas LamataUniversidad de SevillaVerified email at us.es
Antonio MezzacapoIBM Quantum - Watson Research CenterVerified email at us.ibm.com
Jorge CasanovaRamón y Cajal researcher at University of the Basque CountryVerified email at ehu.eus
Borja PeropadreIBM QuantumVerified email at ibm.com
Joonsuk HuhDepartment of Chemistry, Sungkyunkwan UniversityVerified email at skku.edu
Gian Giacomo GuerreschiResearch Scientist, IntelVerified email at intel.com
Dmitry ZubarevHarvard UniversityVerified email at fas.harvard.edu
William A. Lester Jr.Professor of Chemistry, University of California, BerkeleyVerified email at cchem.berkeley.edu
Jacob T. SeeleyPostdoctoral Fellow, Department of Earth and Planetary Sciences, Harvard UniversityVerified email at fas.harvard.edu

Jarrod R. McClean

Staff Research Scientist - Google

Verified email at google.com - Homepage

Quantum Computing Quantum Chemistry Quantum Dynamics High Performance Computing Parallel Algorithms


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Quantum supremacy using a programmable superconducting processor F Arute, K Arya, R Babbush, D Bacon, JC Bardin, R Barends, R Biswas, ... Nature 574 (7779), 505-510, 2019	5624	2019
A variational eigenvalue solver on a photonic quantum processor A Peruzzo, J McClean, P Shadbolt, MH Yung, XQ Zhou, PJ Love, ... Nature communications 5 (4213), 2014	2871	2014
The theory of variational hybrid quantum-classical algorithms JR McClean, J Romero, R Babbush, A Aspuru-Guzik New Journal of Physics 18, 023023, 2016	1585	2016
Barren plateaus in quantum neural network training landscapes JR McClean, S Boixo, VN Smelyanskiy, R Babbush, H Neven Nature Communications 9, 4812, 2018	1069	2018
Variational quantum algorithms M Cerezo, A Arrasmith, R Babbush, SC Benjamin, S Endo, K Fujii, ... Nature Reviews Physics 3 (9), 625-644, 2021	1053	2021
Scalable Quantum Simulation of Molecular Energies PJJ O'Malley, R Babbush, ID Kivlichan, J Romero, JR McClean, ... Physical Review X 6 (3), 031007, 2016	1017	2016
Quantum chemistry calculations on a trapped-ion quantum simulator C Hempel, C Maier, J Romero, J McClean, T Monz, H Shen, P Jurcevic, ... Physical Review X 8 (3), 031022, 2018	560	2018
Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz J Romero, R Babbush, JR McClean, C Hempel, PJ Love, A Aspuru-Guzik Quantum Science and Technology 4 (1), 014008, 2018	505	2018
Computation of molecular spectra on a quantum processor with an error-resilient algorithm JI Colless, VV Ramasesh, D Dahlen, MS Blok, ME Kimchi-Schwartz, ... Physical Review X 8 (1), 011021, 2018	443	2018
Hartree-Fock on a superconducting qubit quantum computer Google AI Quantum and Collaborators*†, F Arute, K Arya, R Babbush, ... Science 369 (6507), 1084-1089, 2020	438	2020
Hybrid quantum-classical hierarchy for mitigation of decoherence and determination of excited states JR McClean, ME Kimchi-Schwartz, J Carter, WA De Jong Physical Review A 95 (4), 042308, 2017	430	2017
Quantum approximate optimization of non-planar graph problems on a planar superconducting processor MP Harrigan, KJ Sung, M Neeley, KJ Satzinger, F Arute, K Arya, J Atalaya, ... Nature Physics 17 (3), 332-336, 2021	356	2021
OpenFermion: the electronic structure package for quantum computers JR McClean, NC Rubin, KJ Sung, ID Kivlichan, X Bonet-Monroig, Y Cao, ... Quantum Science and Technology 5 (3), 034014, 2020	346*	2020
Power of data in quantum machine learning HY Huang, M Broughton, M Mohseni, R Babbush, S Boixo, H Neven, ... Nature communications 12 (1), 1-9, 2021	342	2021
Quantum simulation of electronic structure with linear depth and connectivity ID Kivlichan, J McClean, N Wiebe, C Gidney, A Aspuru-Guzik, GKL Chan, ... Physical review letters 120 (11), 110501, 2018	321	2018
Low-depth quantum simulation of materials R Babbush, N Wiebe, J McClean, J McClain, H Neven, GKL Chan Physical Review X 8 (1), 011044, 2018	306	2018
Boson sampling for molecular vibronic spectra J Huh, GG Guerreschi, B Peropadre, JR McClean, A Aspuru-Guzik Nature Photonics, 615–620, 2015	294	2015
Tensorflow quantum: A software framework for quantum machine learning M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ... arXiv preprint arXiv:2003.02989, 2020	260	2020
Encoding electronic spectra in quantum circuits with linear T complexity R Babbush, C Gidney, DW Berry, N Wiebe, J McClean, A Paler, A Fowler, ... Physical Review X 8 (4), 041015, 2018	258	2018
From transistor to trapped-ion computers for quantum chemistry MH Yung, J Casanova, A Mezzacapo, J McClean, L Lamata, ... Scientific Reports 4 (3589), 1-7, 2014	219	2014

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