SimCATS

Simulation of CSDs for Automated Tuning Solutions (SimCATS) is a python framework for simulating charge stability diagrams (CSDs) typically measured during the tuning process of qubits.

4
contributors
2 commits | Last commit 2 weeks ago

Cite this software

What SimCATS can do for you

Simulation of CSDs for Automated Tuning Solutions (SimCATS) is a python framework for simulating charge stability diagrams (CSDs) typically measured during the tuning process of qubits. Our geometric representation of the CSD structures enables a fast simulation of ideal data, complemented by a sensor model that represents the observed Coulomb peaks as simplified Lorentzians. Furthermore, the sensor model includes the sensor potential's dependence on the lever arms of the double quantum dot's gate voltages and occupation. In addition, the simulation includes a variety of distortions from three newly proposed categories. We have demonstrated the ability of our simulation to mimic a wide variety of measured data. The simulated data enables the development and benchmarking of algorithms for automated qubit tuning.

Logo of SimCATS
Keywords
Programming languages
  • Jupyter Notebook 89%
  • Python 11%
License
</>Source code
Packages
pypi.org

Participating organisations

Forschungszentrum Jülich

Reference papers

Contributors

FH
Fabian Hader
Central Institute of Engineering, Electronics and Analytics ZEA-2 - Electronic Systems, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
SF
Sarah Fleitmann
Central Institute of Engineering, Electronics and Analytics ZEA-2 - Electronic Systems, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
JV
Jan Vogelbruch
Central Institute of Engineering, Electronics and Analytics ZEA-2 - Electronic Systems, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany

Helmholtz Program-oriented Funding IV

Research Field
Research Program
PoF Topic
5 Information
5.2 Natural, Artificial and Cognitive Information Processing
5.2.2 Quantum Computing
  • 5 Information
    • 5.2 Natural, Artificial and Cognitive Information Processing
      • 5.2.2 Quantum Computing