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 | 386 | 2020 |
Suppressing quantum errors by scaling a surface code logical qubit Nature 614 (7949), 676-681, 2023 | 333 | 2023 |
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 |
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 | 237 | 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 |
Observation of separated dynamics of charge and spin in the fermi-hubbard model F Arute, K Arya, R Babbush, D Bacon, JC Bardin, R Barends, A Bengtsson, ... arXiv preprint arXiv:2010.07965, 2020 | 123 | 2020 |
Accurately computing the electronic properties of a quantum ring C Neill, T McCourt, X Mi, Z Jiang, MY Niu, W Mruczkiewicz, I Aleiner, ... Nature 594 (7864), 508-512, 2021 | 80* | 2021 |
Purification-based quantum error mitigation of pair-correlated electron simulations TE O’Brien, G Anselmetti, F Gkritsis, VE Elfving, S Polla, WJ Huggins, ... Nature Physics 19 (12), 1787-1792, 2023 | 39 | 2023 |
Non-Abelian braiding of graph vertices in a superconducting processor Nature 618 (7964), 264-269, 2023 | 38* | 2023 |
Quantum information phases in space-time: measurement-induced entanglement and teleportation on a noisy quantum processor JC Hoke, M Ippoliti, D Abanin, R Acharya, M Ansmann, F Arute, K Arya, ... arXiv preprint arXiv:2303.04792, 2023 | 24 | 2023 |
Readout of a quantum processor with high dynamic range Josephson parametric amplifiers T White, A Opremcak, G Sterling, A Korotkov, D Sank, R Acharya, ... Applied Physics Letters 122 (1), 2023 | 21 | 2023 |
Google Quantum AI, Exponential suppression of bit or phase errors with cyclic error correction Z Chen, KJ Satzinger, J Atalaya, AN Korotkov, A Dunsworth, D Sank, ... Nature 595 (7867), 383-387, 2021 | 15 | 2021 |
Learning noise via dynamical decoupling of entangled qubits T McCourt, C Neill, K Lee, C Quintana, Y Chen, J Kelly, J Marshall, ... Physical Review A 107 (5), 052610, 2023 | 11 | 2023 |
Noisy dynamical systems evolve error correcting codes and modularity T McCourt, IR Fiete, IL Chuang arXiv preprint arXiv:2303.14448, 2023 | 4 | 2023 |
Mechanically Designing Protected Superconducting Qubits T McCourt arXiv preprint arXiv:2403.03451, 2024 | | 2024 |
Characterization of time-correlated quantum errors through entanglement Y Niu, TJ Mccourt, M Mohseni, V Smelyanskiy US Patent App. 17/928,349, 2023 | | 2023 |
Non-Gaussian Noise in Superconducting Circuits TJ McCourt Massachusetts Institute of Technology, 2023 | | 2023 |
Barium Ions for omg-style Trapped-Ion Quantum Information S Todaro, X Shi, K Lei, K Debry, S Alterman, F Knollmann, G Mintzer, ... APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2022 …, 2022 | | 2022 |
Towards a robust system for cryogenic multi-species ion trapping K DeBry, F Knollmann, T McCourt, X Shi, J Stuart, S Todaro, ... Bulletin of the American Physical Society 66, 2021 | | 2021 |
Quantum graph neural networks G Verdon, T McCourt, E Luzhnica, V Singh, S Leichenauer, J Hidary arXiv preprint arXiv:1909.12264, 2019 | | 2019 |