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All-rf-based coarse-tuning algorithm for quantum devices using machine learning

Barnaby van Straaten^1,*, Federico Fedele ^1,*, Florian Vigneau ¹, Joseph Hickie ¹, Daniel Jirovec², Andrea Ballabio³, Daniel Chrastina ³, Giovanni Isella³, Georgios Katsaros² et al.

Natalia Ares ^4,†

¹Department of Materials, University of Oxford, Oxford OX1 3PH, United Kingdom
²Institute of Science and Technology Austria, Am Campus 1, 3400 Klosterneuburg, Austria
³L-NESS, Physics Department, Politecnico di Milano, via Anzani 42, 22100 Como, Italy
⁴Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom

^*These authors contributed equally.
^†Contact author: natalia.ares@eng.ox.ac.uk

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, Rafael S. Eggli, Taras Patlatiuk, Nathan Korda, Dominik M. Zumbühl, and Natalia Ares

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All-rf-based coarse-tuning algorithm for quantum devices using machine learning

Fully autonomous tuning of a spin qubit

Artificial intelligence for quantum computing

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