Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning

The potential of Si and SiGe-based devices for the scaling of quantum circuits is tainted by device variability. Each device needs to be tuned to operation conditions and each device realisation requires a different tuning protocol. We demonstrate that it is possible to automate the tuning of a 4-ga...

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Bibliographic Details
Main Authors:	Severin, B, Lennon, DT, Camenzind, LC, Vigneau, F, Fedele, F, Jirovec, D, Ballabio, A, Chrastina, D, Isella, G, de Kruijf, M, Carballido, MJ, Svab, S, Kuhlmann, AV, Geyer, S, Froning, FNM, Moon, H, Osborne, MA, Sejdinovic, D, Katsaros, G, Zumbühl, DM, Briggs, GAD, Ares, N
Format:	Journal article
Language:	English
Published:	Nature Research 2024

Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning

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