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Ryan Babbush
Ryan Babbush
Director of Research, Quantum Algorithms & Applications - Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
89112019
Variational Quantum Algorithms
M Cerezo, A Arrasmith, R Babbush, SC Benjamin, S Endo, K Fujii, ...
Nature Reviews Physics, 1-20, 2021
27972021
The Theory of Variational Hybrid Quantum-Classical Algorithms
J McClean, J Romero, R Babbush, A Aspuru-Guzik
New Journal of Physics 18 (2), 023023, 2016
23772016
Barren Plateaus in Quantum Neural Network Training Landscapes
JR McClean, S Boixo, VN Smelyanskiy, R Babbush, H Neven
Nature Communications 9 (1), 4812, 2018
21252018
Characterizing Quantum Supremacy in Near-Term Devices
S Boixo, S Isakov, V Smelyanskiy, R Babbush, N Ding, Z Jiang, J Martinis, ...
Nature Physics 14 (6), 595–600, 2018
14412018
Scalable Quantum Simulation of Molecular Energies
P O'Malley, R Babbush, I Kivlichan, J Romero, J McClean, R Barends, ...
Physical Review X 6 (3), 031007, 2016
13212016
Hartree-Fock on a Superconducting Qubit Quantum Computer
GAI Quantum
Science 369 (6507), 1084-1089, 2020
8682020
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
7802018
Strategies for Quantum Computing Molecular Energies Using the Unitary Coupled Cluster Ansatz
J Romero, R Babbush, J McClean, C Hempel, P Love, A Aspuru-Guzik
Quantum Science and Technology 4 (1), 14008, 2018
7732018
Power of Data in Quantum Machine Learning
HY Huang, M Broughton, M Mohseni, R Babbush, S Boixo, H Neven, ...
Nature Communications 12 (2631), 2020
7642020
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, 1-5, 2021
5902021
What is the Computational Value of Finite Range Tunneling?
V Denchev, S Boixo, S Isakov, N Ding, R Babbush, V Smelyanskiy, ...
Physical Review X 6 (3), 031015, 2016
5902016
Suppressing Quantum Errors by Scaling a Surface Code Logical Qubit
R Acharya, I Aleiner, R Allen, TI Andersen, M Ansmann, F Arute, K Arya, ...
Nature 614, 676–681, 2023
5782023
Digitized Adiabatic Quantum Computing with a Superconducting Circuit
R Barends, A Shabani, L Lamata, J Kelly, A Mezzacapo, U Las Heras, ...
Nature 534 (7606), 222-226, 2016
5602016
OpenFermion: The Electronic Structure Package for Quantum Computers
J McClean, N Rubin, K Sung, ID Kivlichan, X Bonet-Monroig, Y Cao, ...
Quantum Science and Technology, 2020
5592020
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
5192022
Quantum Simulation of Electronic Structure with Linear Depth and Connectivity
ID Kivlichan, J McClean, N Wiebe, C Gidney, A Aspuru-Guzik, GK Chan, ...
Physical Review Letters 120 (11), 110501, 2018
4732018
Encoding Electronic Spectra in Quantum Circuits with Linear T Complexity
R Babbush, C Gidney, D Berry, N Wiebe, J McClean, A Paler, A Fowler, ...
Physical Review X 8 (4), 041015, 2018
4572018
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
4462018
Quantum Error Mitigation
Z Cai, R Babbush, SC Benjamin, S Endo, WJ Huggins, Y Li, JR McClean, ...
Reviews of Modern Physics 95, 45005, 2023
4272023
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