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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

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Articles Citing

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

Spin qubit tuning automation for computer scientists

Metalearning characteristics and dynamics of quantum systems

Fully autonomous tuning of a spin qubit

Machine-learning-enabled characterization of individual ring resonators in integrated photonic lattices

Artificial intelligence for quantum computing

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