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Jarrod R. McClean
Jarrod R. McClean
Senior Staff Research Scientist - Google
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
80122019
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
42152014
Variational quantum algorithms
M Cerezo, A Arrasmith, R Babbush, SC Benjamin, S Endo, K Fujii, ...
Nature Reviews Physics 3 (9), 625-644, 2021
22822021
The theory of variational hybrid quantum-classical algorithms
JR McClean, J Romero, R Babbush, A Aspuru-Guzik
New Journal of Physics 18, 023023, 2016
21542016
Barren plateaus in quantum neural network training landscapes
JR McClean, S Boixo, VN Smelyanskiy, R Babbush, H Neven
Nature Communications 9, 4812, 2018
18332018
Scalable Quantum Simulation of Molecular Energies
PJJ O'Malley, R Babbush, ID Kivlichan, J Romero, JR McClean, ...
Physical Review X 6 (3), 031007, 2016
12372016
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
7202018
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
7002018
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
6482020
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
6382021
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
5632017
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
5582018
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
5232021
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
5012020
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
4302018
Suppressing quantum errors by scaling a surface code logical qubit
Nature 614 (7949), 676-681, 2023
4242023
Quantum advantage in learning from experiments
HY Huang, M Broughton, J Cotler, S Chen, J Li, M Mohseni, H Neven, ...
Science 376 (6598), 1182-1186, 2022
4162022
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
3962018
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
3782020
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
3782018
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