This repository contains the source code used to generate six datasets for quantum generative machine learning that feature in PennyLane datasets:
- Binary Blobs
- Ising
- Binarized MNIST
- D-Wave
- Scale Free Network
- Genomic
Each dataset contains binary vectors. Hierarchical data format files can
be generated by running the corresponding python scripts and are stored in
./datasets.
The Binary Blobs, Ising and Scale Free Network dataset require the qml_benchmarks pacakge avaliable at https://github.com/XanaduAI/qml-benchmarks.