Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning. - Brandon Severin; Dominic T. Lennon; Leon C. Camenzind; Florian Vigneau; Federico Fedele; D. Jirovec; A. Ballabio; D. Chrastina; G. Isella; M. de Kruijf; Miguel J. Carballido; Simon Svab; et al. (CoRR, 2021)

Data Needs and Challenges of Quantum Dot Devices Automation: Workshop Report. - Justyna P. Zwolak; Jacob M. Taylor; Reed Andrews; Jared Benson; Garnett W. Bryant; Donovan Buterakos; Anasua Chatterjee; Sankar Das Sarma; Mark A. Eriksson; Eliska Greplova; Michael J. Gullans; Fabian Hader; et al. (CoRR, 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)