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 | 7685 | 2019 |

Barren plateaus in quantum neural network training landscapes JR McClean, S Boixo, VN Smelyanskiy, R Babbush, H Neven Nature communications 9 (1), 4812, 2018 | 1736 | 2018 |

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 | 1273 | 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 | 615 | 2020 |

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 | 551 | 2016 |

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 | 515 | 2018 |

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 | 506 | 2021 |

Suppressing quantum errors by scaling a surface code logical qubit Nature 614 (7949), 676-681, 2023 | 333 | 2023 |

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 | 331 | 2021 |

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 | 305 | 2017 |

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 | 274 | 2018 |

Universal quantum control through deep reinforcement learning MY Niu, S Boixo, VN Smelyanskiy, H Neven npj Quantum Information 5 (1), 33, 2019 | 272 | 2019 |

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 | 262 | 2020 |

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 | 250 | 2022 |

Quantum optimization of fully connected spin glasses D Venturelli, S Mandrà, S Knysh, B O’Gorman, R Biswas, V Smelyanskiy Physical Review X 5 (3), 031040, 2015 | 250 | 2015 |

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 | 233 | 2016 |

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 | 230 | 2015 |

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 | 229 | 2021 |

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 | 222 | 2021 |

First-order phase transition in the quantum adiabatic algorithm AP Young, S Knysh, VN Smelyanskiy Physical review letters 104 (2), 020502, 2010 | 199 | 2010 |