Quantum-GANS

• Implementation of Quantum Gans using Pennylane capable of creating quantum simualator and quantum nodes and backpropagating through them .
• Angles of rotation gates are the paramters in case of quantum circuits .

Setting up the environment to work in:

• Install Anaconda
• Then create and activate a conda environement

conda create -n myenv
source activate myenv

Then following requirements are there.

• python 3.6 or gretaer will work(lower versions should also work).
• pytorch 1.14

Many simulators are there or QPUs which can be installed depending on what works with the system To install pennylane :

pip install pennylane
pip install pennylane-sf

SF is the strawberry fields simulator.

To install forest simulator :

pip install pennylane-forest

To install cirq simulator :

pip install pennylane-cirq

Training the Quantum GANS:

The structure is as follows: First specify appropriate locations and parameters in the common.py file To train the model run:

python train.py

Tensorboard logs will be generated in the tensorboard_dir. To see the tensorboard visualisations:

python -m tensorboard.main --logdir=[PATH_TO_LOGDIR]

A link will appear on the command line and on opening it in the browser tensorboard visualisations will be visible. For circuits define quantum nodes so that backpropagation is possible through them.