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.
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Description
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.
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Mentions
- 1.Author(s): Jan Krzywda, Weikun Liu, Evert van Nieuwenburg, Oswin KrausePublished in SciPost Physics Codebases by Stichting SciPost in 202510.21468/scipostphyscodeb.43
- 2.Author(s): Valentina Gualtieri, Charles Renshaw-Whitman, Vinicius Hernandes, Eliska GreplovaPublished in SciPost Physics Codebases by Stichting SciPost in 202510.21468/scipostphyscodeb.46
- 3.Author(s): Jacob R. Taylor, Sankar Das SarmaPublished in Physical Review B by American Physical Society (APS) in 202510.1103/physrevb.111.035301