Dataset: Data augmentation experiments with style-based quantum generative adversarial networks on trapped-ion and superconducting-qubit technologies
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下载链接：
https://zenodo.org/record/11278537
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资源简介：
Dataset for the following paper: "Data augmentation experiments with style-based quantum generative adversarial networks on trapped-ion and superconducting-qubit technologies", Julien Baglio, 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.
创建时间：
2024-05-24
