Improving the dynamics of quantum sensors with reinforcement learning. - Jonas Schuff; Lukas J. Fiderer; Daniel Braun 005 (CoRR, 2019)

Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation. - Lukas J. Fiderer; Jonas Schuff; Daniel Braun 005 (CoRR, 2020)

The Automated Bias Triangle Feature Extraction Framework. - Madeleine Kotzagiannidis; Jonas Schuff; Nathan Korda (CoRR, 2023)

Identifying Pauli spin blockade using deep learning. - Jonas Schuff; Dominic T. Lennon; Simon Geyer; David L. Craig; Federico Fedele; Florian Vigneau; Leon C. Camenzind; Andreas V. Kuhlmann; G. Andrew D. Briggs; Dominik M. Zumbühl; Dino Sejdinovic; Natalia Ares (Quantum, 2023)

Fully autonomous tuning of a spin qubit. - Jonas Schuff; Miguel J. Carballido; Madeleine Kotzagiannidis; Juan Carlos Calvo; Marco Caselli; Jacob Rawling; David L. Craig; Barnaby van Straaten; Brandon Severin; Federico Fedele; Simon Svab; Pierre Chevalier Kwon; et al. (CoRR, 2024)

Meta-learning characteristics and dynamics of quantum systems. - Lucas Schorling; Pranav Vaidhyanathan; Jonas Schuff; Miguel J. Carballido; Dominik M. Zumbühl; Gerard Milburn; Florian Marquardt; Jakob N. Foerster; Michael A. Osborne; Natalia Ares (CoRR, 2025)