| The variational quantum eigensolver: a review of methods and best practices J Tilly, H Chen, S Cao, D Picozzi, K Setia, Y Li, E Grant, L Wossnig, ... Physics Reports 986, 1-128, 2022 | 965 | 2022 |
| 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 | 459 | 2020 |
| Hierarchical quantum classifiers E Grant, M Benedetti, S Cao, A Hallam, J Lockhart, V Stojevic, AG Green, ... npj Quantum Information 4 (1), 65, 2018 | 321* | 2018 |
| High coherence and low cross-talk in a tileable 3D integrated superconducting circuit architecture PA Spring, S Cao, T Tsunoda, G Campanaro, S Fasciati, J Wills, M Bakr, ... Science Advances 8 (16), eabl6698, 2022 | 44 | 2022 |
| Cost-function embedding and dataset encoding for machine learning with parametrized quantum circuits S Cao, L Wossnig, B Vlastakis, P Leek, E Grant Physical Review A 101 (5), 052309, 2020 | 33 | 2020 |
| Emulating two qubits with a four-level transmon qudit for variational quantum algorithms S Cao, M Bakr, G Campanaro, SD Fasciati, J Wills, D Lall, B Shteynas, ... Quantum Science and Technology 9 (3), 035003, 2024 | 26 | 2024 |
| Efficient Characterization of Qudit Logical Gates with Gate Set Tomography Using an Error-Free Virtual Gate Model S Cao, D Lall, M Bakr, G Campanaro, SD Fasciati, J Wills, ... Physical Review Letters 133 (12), 120802, 2024 | 12* | 2024 |
| Spatial Charge Sensitivity in a Multimode Superconducting Qubit J Wills, G Campanaro, S Cao, SD Fasciati, PJ Leek, B Vlastakis Physical Review Applied 17 (2), 024058, 2022 | 4 | 2022 |
| Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit S Cao, W Zhang, J Tilly, A Agarwal, M Bakr, G Campanaro, SD Fasciati, ... Quantum Science and Technology 9 (4), 045037, 2024 | 3 | 2024 |
| Qutrit-ZX Calculus on superconducting transmon qutrits S Cao, L Yeh, M Bakr, G Campanaro, S Fasciati, J Wills, B Shteynas, ... APS March Meeting Abstracts 2022, F37. 007, 2022 | 3 | 2022 |
| Multi-agent blind quantum computation without universal cluster states S Cao New Journal of Physics 25 (10), 103028, 2023 | 2 | 2023 |
| Complementing the transmon by integrating a geometric shunt inductor SD Fasciati, B Shteynas, G Campanaro, M Bakr, S Cao, V Chidambaram, ... arXiv preprint arXiv:2410.10416, 2024 | 1 | 2024 |
| Quantum computing system and method S Cao, H Chen, E Grant, J Tilly US Patent App. 18/271,918, 2024 | 1 | 2024 |
| Implementation of variational quantum algorithms on superconducting qudits S Cao University of Oxford, 2023 | 1 | 2023 |
| Characterisation of a 3D-integrated 16-qubit superconducting circuit V Chidambaram, P Spring, G Campanaro, S Cao, S Fasciati, J Wills, ... APS March Meeting Abstracts 2023, Z75. 011, 2023 | 1 | 2023 |
| Hybrid 2D/3D integrated readout multiplexing in circuit QED M Bakr, S Cao, G Campanaro, S Fasciati, J Wills, V Chidambaram, ... APS March Meeting Abstracts 2022, A39. 011, 2022 | 1 | 2022 |
| Characterization of Nanostructural Imperfections in Superconducting Quantum Circuits M Alghadeer, SD Fasciati, S Cao, M Piscitelli, SC Speller, PJ Leek, ... arXiv preprint arXiv:2501.15059, 2025 | | 2025 |
| Multiplexed Readout of Superconducting Qubits Using a 3D Re-entrant Cavity Filter M Bakr, SD Fasciati, S Cao, G Campanaro, J Wills, M Alghadeer, ... arXiv preprint arXiv:2412.14853, 2024 | | 2024 |
| Agents for self-driving laboratories applied to quantum computing S Cao, Z Zhang, M Alghadeer, SD Fasciati, M Piscitelli, M Bakr, P Leek, ... arXiv preprint arXiv:2412.07978, 2024 | | 2024 |
| Improving readout of a superconducting qubit using the path signature method S Cao, Z Shao, JQ Zheng, M Alghadeer, SD Fasciati, M Piscitelli, ... Bulletin of the American Physical Society, 2024 | | 2024 |
Peter J LeekUniversity of Oxfordphysics.ox.ac.uk의 이메일 확인됨