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Vadim N. Smelyanskiy
Vadim N. Smelyanskiy
NASA Ames Research Center
Verified email at nasa.gov
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
76852019
Barren plateaus in quantum neural network training landscapes
JR McClean, S Boixo, VN Smelyanskiy, R Babbush, H Neven
Nature communications 9 (1), 4812, 2018
17362018
Characterizing quantum supremacy in near-term devices
S Boixo, SV Isakov, VN Smelyanskiy, R Babbush, N Ding, Z Jiang, ...
Nature Physics 14 (6), 595-600, 2018
12732018
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
6152020
What is the computational value of finite-range tunneling?
VS Denchev, S Boixo, SV Isakov, N Ding, R Babbush, V Smelyanskiy, ...
Physical Review X 6 (3), 031015, 2016
5512016
A blueprint for demonstrating quantum supremacy with superconducting qubits
C Neill, P Roushan, K Kechedzhi, S Boixo, SV Isakov, V Smelyanskiy, ...
Science 360 (6385), 195-199, 2018
5152018
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
5062021
Suppressing quantum errors by scaling a surface code logical qubit
Nature 614 (7949), 676-681, 2023
3332023
Realizing topologically ordered states on a quantum processor
KJ Satzinger, YJ Liu, A Smith, C Knapp, M Newman, C Jones, Z Chen, ...
Science 374 (6572), 1237-1241, 2021
3312021
Commercialize quantum technologies in five years
M Mohseni, P Read, H Neven, S Boixo, V Denchev, R Babbush, A Fowler, ...
Nature 543 (7644), 171-174, 2017
3052017
Fluctuations of energy-relaxation times in superconducting qubits
PV Klimov, J Kelly, Z Chen, M Neeley, A Megrant, B Burkett, R Barends, ...
Physical review letters 121 (9), 090502, 2018
2742018
Universal quantum control through deep reinforcement learning
MY Niu, S Boixo, VN Smelyanskiy, H Neven
npj Quantum Information 5 (1), 33, 2019
2722019
Demonstrating a continuous set of two-qubit gates for near-term quantum algorithms
B Foxen, C Neill, A Dunsworth, P Roushan, B Chiaro, A Megrant, J Kelly, ...
Physical Review Letters 125 (12), 120504, 2020
2622020
Time-crystalline eigenstate order on a quantum processor
X Mi, M Ippoliti, C Quintana, A Greene, Z Chen, J Gross, F Arute, K Arya, ...
Nature 601 (7894), 531-536, 2022
2502022
Quantum optimization of fully connected spin glasses
D Venturelli, S MandrÓ, S Knysh, B O’Gorman, R Biswas, V Smelyanskiy
Physical Review X 5 (3), 031040, 2015
2502015
Computational multiqubit tunnelling in programmable quantum annealers
S Boixo, VN Smelyanskiy, A Shabani, SV Isakov, M Dykman, VS Denchev, ...
Nature communications 7 (1), 10327, 2016
2332016
A case study in programming a quantum annealer for hard operational planning problems
EG Rieffel, D Venturelli, B O’Gorman, MB Do, EM Prystay, ...
Quantum Information Processing 14, 1-36, 2015
2302015
Exponential suppression of bit or phase flip errors with repetitive error correction
Z Chen, KJ Satzinger, J Atalaya, AN Korotkov, A Dunsworth, D Sank, ...
arXiv preprint arXiv:2102.06132, 2021
2292021
Information scrambling in quantum circuits
X Mi, P Roushan, C Quintana, S Mandra, J Marshall, C Neill, F Arute, ...
Science 374 (6574), 1479-1483, 2021
2222021
First-order phase transition in the quantum adiabatic algorithm
AP Young, S Knysh, VN Smelyanskiy
Physical review letters 104 (2), 020502, 2010
1992010
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