Dataset: Cross-platform hardware benchmark of style-based quantum GANs for data augmentation on superconducting and trapped-ion processors

Dataset for the following paper: "Cross-platform hardware benchmark of style-based quantum GANs for data augmentation on superconducting and trapped-ion processors", Julien Baglio, AIP Advances 16, 065008 (2026) [arXiv:2405.04401] It contains: one folder named "data_for_all_plots" containing the raw data for the s, t, and y distributions for all the figures of the paper as well as a Jupyter notebook to generate the figures. one file named "variance_calculations_qGAN.txt" containing the data to calculate the errors for the KL divergences.