| 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 | 561 | 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 | 381 | 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 | 264* | 2018 |
| 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 | 28 | 2020 |
| 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 | 21* | 2022 |
| 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, 2023 | 10 | 2023 |
| Efficient qutrit gate-set tomography on a transmon S Cao, D Lall, M Bakr, G Campanaro, S Fasciati, J Wills, V Chidambaram, ... arXiv preprint arXiv:2210.04857, 2022 | 5 | 2022 |
| 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 | 3 | 2022 |
| 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 |
| 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, ... arXiv preprint arXiv:2309.13036, 2023 | 2 | 2023 |
| Multi-agent blind quantum computation without universal cluster states S Cao New Journal of Physics 25 (10), 103028, 2023 | 1 | 2023 |
| 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 |
| Purcell filtering for qubit readout using intrinsic geometric multi-modes of the transmon M Bakr, M Alghadeer, SD Fasciati, S Cao, S Amari, M Piscitelli, S Taravati, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Automating physical experiments via Large Language Models: an attempt on superconducting quantum processors Z Zhang, S Cao, M Alghadeer, S Fasciati, M Piscitelli, M Bakr, P Leek, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| QUANTUM COMPUTING SYSTEM AND METHOD S Cao, H Chen, E Grant, J Tilly US Patent App. 18/271,918, 2024 | | 2024 |
| Quantum state discrimination enhanced by path signature S Cao, Z Shao, JQ Zheng, M Alghadeer, SD Fasciati, M Piscitelli, ... arXiv preprint arXiv:2402.09532, 2024 | | 2024 |
| Improving dispersive readout of a superconducting qubit by machine learning on path signature S Cao, Z Shao, JQ Zheng, M Bakr, P Leek, T Lyons Machine Learning and the Physical Science Workshop, NeurIPS 2023, 2023 | | 2023 |
| Emulating 2 qubits with a 4-level superconducting transmon S Cao, M Bakr, G Campanaro, S Fasciati, J Wills, B Shteynas, ... APS March Meeting Abstracts 2023, Y73. 002, 2023 | | 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 | | 2023 |
| Characterisation of a modular 3D-integrated superconducting circuit G Campanaro, S Cao, S Fasciati, J Wills, M Bakr, V Chidambaram, ... APS March Meeting Abstracts 2023, N74. 011, 2023 | | 2023 |
Peter J LeekUniversity of OxfordVerified email at physics.ox.ac.uk
