TY  - JOUR
AU  - Hader, Fabian
AU  - Vogelbruch, Jan
AU  - Humpohl, Simon
AU  - Hangleiter, Tobias
AU  - Eguzo, Chimezie
AU  - Heinen, Stefan
AU  - Meyer, Stefanie
AU  - van Waasen, Stefan
TI  - On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots
JO  - IEEE transactions on quantum engineering
VL  - 4
SN  - 2689-1808
CY  - New York, NY
PB  - IEEE
M1  - FZJ-2023-01472
SP  - 5500218
PY  - 2023
AB  - In gate-defined quantum dot systems, the conductance change of electrostatically coupled sensor dots allows the observation of the quantum dots' charge and spin states. Therefore, the sensor dots must be optimally sensitive to changes in its electrostatic environment. A series of conductance measurements varying the two sensor-dot-forming barrier gate voltages serve to tune the dot into a corresponding operating regime. In this paper, we analyze the noise characteristics of the measured data and define a criterion to identify continuous regions with a sufficient signal-gradient-to-noise ratio. Hence, accurate noise estimation is required when identifying the optimal operating regime. Therefore, we evaluate several existing noise estimators, modify them for 1D data, optimize their parameters, and analyze their quality based on simulated data. The estimator of Chen et al. [1] turns out to be best suited for our application concerning minimally scattering results. Furthermore, using this estimator in an algorithm for flank-of-interest classification in measured data shows the relevance and applicability of our approach.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:001363356900001
DO  - DOI:10.1109/TQE.2023.3255743
UR  - https://juser.fz-juelich.de/record/1005435
ER  -