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

Hader, Fabian; Heinen, Stefan; van Waasen, Stefan; Meyer, Stefanie; Hangleiter, Tobias; Humpohl, Simon; Vogelbruch, Jan; Eguzo, Chimezie

doi:10.1109/TQE.2023.3255743

Journal Article

FZJ-2023-01472

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

Hader, F. (Corresponding author)FZJ* ; Vogelbruch, J.FZJ* ; Humpohl, S.FZJ* ; Hangleiter, T.RWTH* ; Eguzo, C.FZJ* ; Heinen, S.FZJ* ; Meyer, S.FZJ* ; van Waasen, S.FZJ*

2023
IEEE New York, NY

IEEE transactions on quantum engineering 4, 5500218 (2023) [10.1109/TQE.2023.3255743]

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Please use a persistent id in citations: http://hdl.handle.net/2128/34437 doi:10.1109/TQE.2023.3255743

Abstract: 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.

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