Quantum Generative Adversial Networks

Requirements

The following is required to run this example:

• python3.6 or newer
• scipy
• numpy
• sympy
• climin: Use python3 -m pip install git+https://github.com/BRML/climin.git --user to install

Usage

Use

python3 run.py

for running the project with default parameters. Use

python3 run.py -h

to see all configurable parameters.

To be able to run within reasonable time on a desktop (say 5 minutes), you may want to use

python3 run.py -dis 1 -ds 10 -dr 10 -pa -sf

This sets:

• discriminator type to 1, which trains faster
• discriminator amount of items in a dataset to 10 synthetic, 10 real
• generator amount of items in a dataset to 10
• discriminator max iterations in minimize function to 20
• generator max iterations in minimize function to 20
• printing of accuracies before and after each network update
• plotting of test output figures

Stolen work

We found the tutorial's work was stolen from here