Dataset of Quantum Dots Stability Diagrams (QDSD) for machine learning application. This dataset is used for offline quantum dot autotuning.

The experimental data should be downloaded from QDSD, and (at least) the file originals.zip should be downloaded and unzipped in the data folder.

The folder is organized as follows:

• originals.zip - The original data we received from experimentalists (before any processing), grouped by origins. No data processing was applied.
• raw_clean.zip - Compressed files containing all data. Each CSV file is a stability diagram. The CSV has 3 columns: x, y, z. Where x and y are the swiped gate voltages in Volt and z is the measured electric current in Amper. No data processing has been applied yet.
• interpolated_csv.zip - Compressed files containing all diagrams as CSV 2D arrays. Interpolation and float rounding applied (data loss).
• interpolated_images.zip - Compressed files containing all diagrams as PNG images. They are mainly used for transition line and charge area labeling. Interpolation and extreme values filter applied (data loss).
• labels.json - Transition line and charge area labels (exported from Labelbox)

The data processing is kept minimal to be as close as possible to the reality of experimentation. However, in some cases, the alteration of data was necessary to be adapted to machine learning applications.

To have the same constant voltage step between measurements in all stability diagrams, we interpolate the data. The 'nearest' interpolation method is used to upscale or downscale the resolution of the x or y axes when it is necessary.

To visually represent the diagrams (for labeling), it was necessary to remove extreme values. This was done by limiting the values between the 1st and the 99th percentile for each diagram.

In some case the voltage value is rounded to 6 decimals (microvolt).

• data_cleanup/: originals => raw_clean
  Convert the specific file structure to a standard one.
• raw_to_images/: raw_clean => interpolated_csv & interpolated_images
  Interpolate data to have plottable images ready to be annotated.

The original data have been provided by different research groups based on the following references:

• Rochette et al. 2019 (referred as michel_pioro_ladriere)
• Gaudreau et al. 2009 (referred as louis_gaudreau)
• Stuyck et al. 2021 (referred as eva_dupont_ferrier)