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@INPROCEEDINGS{Hader:1032505,
      author       = {Hader, Fabian and Fuchs, Fabian and Fleitmann, Sarah and
                      Havemann, Karin and Scherer, Benedikt and Vogelbruch,
                      Jan-Friedrich and Geck, Lotte and van Waasen, Stefan},
      title        = {{Q}uantum {D}ot {CSD} {S}imulation and {A}utomated {C}harge
                      {T}ransition {D}etection},
      reportid     = {FZJ-2024-06298},
      year         = {2024},
      abstract     = {A scalable platform for quantum computing requires the
                      automation of the quantum dot tuning process. One crucial
                      step is to trap the appropriate number of electrons in the
                      quantum dots typically accomplished by analyzing charge
                      stability diagrams (CSDs), in which the charge transitions
                      manifest as edges. Hence, it is necessary to recognize these
                      edges automatically and reliably. Machine learning methods
                      for this purpose require large amounts of data for training
                      and testing. Therefore, we introduce SimCATS, a new approach
                      to the realistic simulation of such data. It enables the
                      simulation of ideal CSD data complemented with appropriate
                      sensor responses and distortions. This enables us to
                      investigate possible edge detection methods, train them with
                      the simulated data, and carry out a quantitative and
                      qualitative comparison on simulated and experimentally
                      measured data from a GaAs and a SiGe qubit sample.},
      month         = {Nov},
      date          = {2024-11-04},
      organization  = {SpinQubit 6, Sydney (Australia), 4 Nov
                       2024 - 8 Nov 2024},
      subtyp        = {Other},
      cin          = {ZEA-2},
      cid          = {I:(DE-Juel1)ZEA-2-20090406},
      pnm          = {5223 - Quantum-Computer Control Systems and Cryoelectronics
                      (POF4-522)},
      pid          = {G:(DE-HGF)POF4-5223},
      typ          = {PUB:(DE-HGF)24},
      doi          = {10.34734/FZJ-2024-06298},
      url          = {https://juser.fz-juelich.de/record/1032505},
}