| Neural-network heuristics for adaptive bayesian quantum estimation LJ Fiderer, J Schuff, D Braun Prx Quantum 2 (2), 020303, 2021 | 59 | 2021 |
| Improving the dynamics of quantum sensors with reinforcement learning J Schuff, LJ Fiderer, D Braun New Journal of Physics 22 (3), 035001, 2020 | 48 | 2020 |
| Identifying Pauli spin blockade using deep learning J Schuff, DT Lennon, S Geyer, DL Craig, F Fedele, F Vigneau, ... Quantum 7, 1077, 2023 | 5 | 2023 |
| Fully autonomous tuning of a spin qubit J Schuff, MJ Carballido, M Kotzagiannidis, JC Calvo, M Caselli, J Rawling, ... arXiv preprint arXiv:2402.03931, 2024 | 1 | 2024 |
| QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays B van Straaten, J Hickie, L Schorling, J Schuff, F Fedele, N Ares arXiv preprint arXiv:2404.04994, 2024 | | 2024 |
| Sweet Spot Combining Qubit Coherence and Speed M Carballido, S Svab, R Eggli, P Chevalier Kwon, EPAM Bakkers, A Li, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Advancements in the Autonomous Tuning of Semiconductor-based Qubits J Schuff, M Carballido, D Craig, T Patlatiuk, D Zumbuhl, N Ares Bulletin of the American Physical Society, 2024 | | 2024 |
| A Qubit with Simultaneously Maximized Speed and Coherence MJ Carballido, S Svab, RS Eggli, T Patlatiuk, PC Kwon, J Schuff, ... arXiv preprint arXiv:2402.07313, 2024 | | 2024 |
| The Automated Bias Triangle Feature Extraction Framework M Kotzagiannidis, J Schuff, N Korda arXiv preprint arXiv:2312.03110, 2023 | | 2023 |
| Identifying Pauli spin blockade using deep learning N Ares, J Schuff, D Lennon, S Geyer, D Craig, F Fedele, F Vigneau, ... | | 2022 |
| Smart Quantum Sensors: Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation LJ Fiderer, J Schuff, D Braun | | |
