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Akademický článek

Identifying Pauli spin blockade using deep learning

Autor: Jonas Schuff, Dominic T. Lennon, Simon Geyer, David L. Craig, Federico Fedele, Florian Vigneau, Leon C. Camenzind, Andreas V. Kuhlmann, G. Andrew D. Briggs, Dominik M. Zumbühl, Dino Sejdinovic, Natalia Ares

Publikováno v: Quantum, Vol 7, p 1077 (2023)

Pauli spin blockade (PSB) can be employed as a great resource for spin qubit initialisation and readout even at elevated temperatures but it can be difficult to identify. We present a machine learning algorithm capable of automatically identifying PS

Externí odkaz: https://doaj.org/article/e27c7deb5e84463a90719c9054a5fd7b

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A compact and versatile cryogenic probe station for quantum device testing

Autor: Mathieu de Kruijf, Simon Geyer, Toni Berger, Matthias Mergenthaler, Floris Braakman, Richard J. Warburton, Andreas V. Kuhlmann

Fast feedback from cryogenic electrical characterization measurements is key for the development of scalable quantum computing technology. At room temperature, high-throughput device testing is accomplished with a probe-based solution, where electric

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e4ba1b5f14f3ef25be283d7fb3437fa

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Self-aligned gates for scalable silicon quantum computing

Autor: Leon C. Camenzind, Lukas Czornomaz, Richard J. Warburton, Dominik M. Zumbühl, Veeresh Deshpande, Andreas V. Kuhlmann, Andreas Fuhrer, Simon Geyer

Publikováno v: Applied Physics Letters

Silicon quantum dot spin qubits have great potential for application in large-scale quantum circuits as they share many similarities with conventional transistors that represent the prototypical example for scalable electronic platforms. However, for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7efa07803d31cc03faab12557b0b2872
https://doi.org/10.1063/5.0036520

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