| Tackling sampling noise in physical systems for machine learning applications: Fundamental limits and eigentasks F Hu, G Angelatos, SA Khan, M Vives, E Türeci, L Bello, GE Rowlands, ... Physical Review X 13 (4), 041020, 2023 | 6 | 2023 |
| Fundamental limits to expressive capacity of finitely sampled qubit-based systems F Hu, G Angelatos, SA Khan, M Vives, E Türeci, L Bello, GE Rowlands, ... arXiv preprint arXiv:2301.00042, 2022 | 2 | 2022 |
| Parametric amplification of an optomechanical quantum interconnect H Chen, M Vives, M Metcalf Physical Review Research 4 (4), 043119, 2022 | 1 | 2022 |
| Fast Full-Device Characterization and Gate Calibration with a Graph-Based Scheduler A Pancholy, A Barbosa, V Menon, S Kulshreshtha, Y Baum, P Mundada, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Learning in Finitely-Sampled Quantum Systems 2: Applications G Angelatos, F Hu, S Khan, M Vives, E Tureci, L Bello, G Rowlands, ... APS March Meeting Abstracts 2023, K73. 002, 2023 | | 2023 |
| Efficient autonomous system-wide gate calibration M Vives APS March Meeting Abstracts 2023, K70. 011, 2023 | | 2023 |
| Learning in Finitely-Sampled Quantum Systems 1: Expressive Capacity F Hu, G Angelatos, S Khan, M Vives, E Tureci, L Bello, G Rowlands, ... APS March Meeting Abstracts 2023, K73. 001, 2023 | | 2023 |
| Quantifying the Expressive Capacity of Quantum Systems: Fundamental Limits and Eigentasks F Hu, G Angelatos, SA Khan, M Vives, E Türeci, L Bello, GE Rowlands, ... arXiv preprint arXiv:2301.00042, 2022 | | 2022 |
| Reservoir Computing on Current Quantum Processors M Vives, G Angelatos, F Hu, H Tureci APS March Meeting Abstracts 2022, W37. 007, 2022 | | 2022 |
| Optomechanical Quantum Transduction Control Protocol H Chen, M Metcalf, M Vives APS March Meeting Abstracts 2022, A34. 007, 2022 | | 2022 |
| Supervised Learning with Quantum Reservoir Computing M Vives Bastida | | 2021 |
