Corpus ID: 236447409

Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning

  title={Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning},
  author={B. Severin and Dominic T. Lennon and Leon C. Camenzind and Florian Vigneau and F. Fedele and Daniel Jirovec and Andrea Ballabio and Daniel Chrastina and G. Isella and Marc de Kruijf and M. J. Saavedra Carballido and Simon Svab and A. V. Kuhlmann and Floris R. Braakman and Simon Geyer and Florian N. M. Froning and H. Moon and Michael A. Osborne and D. Sejdinovic and Georgios Katsaros and Dominik M. Zumb{\"u}hl and G. Andrew D. Briggs and Natalia Ares},
B. Severin,1 D. T. Lennon,1 L. C. Camenzind,2 F. Vigneau,1 F. Fedele,1 D. Jirovec,3 A. Ballabio,4 D. Chrastina,4 G. Isella,4 M. de Kruijf,2 M. J. Carballido,2 S. Svab,2 A. V. Kuhlmann,2 F. R. Braakman,2 S. Geyer,2 F. N. M. Froning,2 H. Moon,1 M. A. Osborne,5 D. Sejdinovic,6 G. Katsaros,3 D. M. Zumbühl,2 G. A. D. Briggs,1 and N. Ares1 Department of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK Department of Physics, University of Basel, Basel, 4056, Switzerland Institute of… Expand

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