On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

Author:

Hader Fabian1ORCID,Vogelbruch Jan1ORCID,Humpohl Simon2,Hangleiter Tobias2ORCID,Eguzo Chimezie1ORCID,Heinen Stefan1,Meyer Stefanie1,van Waasen Stefan1ORCID

Affiliation:

1. Central Institute of Engineering, Electronics and Analytics ZEA-2 – Electronic Systems, Forschungszentrum Jülich GmbH, Jülich, Germany

2. JARA-FIT Institute for Quantum Information, Forschungszentrum Jülich GmbH and RWTH Aachen University, Aachen, Germany

Funder

Impulse and Networking Fund of the Helmholtz Association

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Engineering (miscellaneous),Condensed Matter Physics,Computer Science (miscellaneous),Software

Reference78 articles.

1. Efficiently measuring a quantum device using machine learning

2. Blind evaluation of additive noise variance in textured images by nonlinear processing of block DCT coefficients

3. Automated coarse tuning of quantum sensor dots;uppuluru,2021

4. Development of an image noise estimation method and a sub-imaging based wiener method;smith,2006

5. Colloquium : Advances in automation of quantum dot devices control

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