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@ARTICLE{Hader:1044873,
author = {Hader, Fabian and FUCHS, FABIAN and Fleitmann, Sarah and
Havemann, Karin and SCHERER, BENEDIKT and Vogelbruch, Jan
and Geck, Lotte and Waasen, Stefan van},
title = {{A}utomated {C}harge {T}ransition {D}etection in {Q}uantum
{D}ot {C}harge {S}tability {D}iagrams},
journal = {IEEE transactions on quantum engineering},
volume = {6},
issn = {2689-1808},
address = {New York, NY},
publisher = {IEEE},
reportid = {FZJ-2025-03407},
pages = {5500414},
year = {2025},
abstract = {Gate-defined semiconductor quantum dots require an
appropriate number of electrons to function as qubits. The
number of electrons is usually tuned by analyzing charge
stability diagrams, in which charge transitions manifest as
edges. Therefore, to fully automate qubit tuning, it is
necessary to recognize these edges automatically and
reliably. This article investigates possible detection
methods, describes their training with simulated data from
the SimCATS framework, and performs a quantitative
comparison with a future hardware implementation in mind.
Furthermore, we investigated the quality of the optimized
approaches on experimentally measured data from a GaAs and a
SiGe qubit sample.},
cin = {PGI-4},
ddc = {621.3},
cid = {I:(DE-Juel1)PGI-4-20110106},
pnm = {5223 - Quantum-Computer Control Systems and Cryoelectronics
(POF4-522)},
pid = {G:(DE-HGF)POF4-5223},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001569673100001},
doi = {10.1109/TQE.2025.3596392},
url = {https://juser.fz-juelich.de/record/1044873},
}