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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
49572019
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
9472018
Barren plateaus in quantum neural network training landscapes
JR McClean, S Boixo, VN Smelyanskiy, R Babbush, H Neven
Nature communications 9 (1), 1-6, 2018
9242018
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
4652016
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
4282018
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
3892020
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
2982021
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
2462017
Computational multiqubit tunnelling in programmable quantum annealers
S Boixo, VN Smelyanskiy, A Shabani, SV Isakov, M Dykman, VS Denchev, ...
Nature communications 7 (1), 1-7, 2016
2092016
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
2082015
Scaling laws for precision in quantum interferometry and the bifurcation landscape of the optimal state
S Knysh, VN Smelyanskiy, GA Durkin
Physical Review A 83 (2), 021804, 2011
1942011
Universal quantum control through deep reinforcement learning
MY Niu, S Boixo, VN Smelyanskiy, H Neven
npj Quantum Information 5 (1), 1-8, 2019
1932019
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), 1-36, 2015
1932015
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
1922018
First-order phase transition in the quantum adiabatic algorithm
AP Young, S Knysh, VN Smelyanskiy
Physical review letters 104 (2), 020502, 2010
1842010
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
1562020
Size dependence of the minimum excitation gap in the quantum adiabatic algorithm
AP Young, S Knysh, VN Smelyanskiy
Physical review letters 101 (17), 170503, 2008
1492008
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
1362021
Quantum algorithms to simulate many-body physics of correlated fermions
Z Jiang, KJ Sung, K Kechedzhi, VN Smelyanskiy, S Boixo
Physical Review Applied 9 (4), 044036, 2018
1342018
Observable and hidden singular features of large fluctuations in nonequilibrium systems
MI Dykman, MM Millonas, VN Smelyanskiy
Physics Letters A 195 (1), 53-58, 1994
1291994
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