Pytorch QGAN Implementation

In this talk, we delve into the realm of quantum generative adversarial networks (qGANs) through a comprehensive tutorial on their implementation using Qiskit Machine Learning and PyTorch. QGANs, a hybrid quantum-classical algorithm, offer a powerful approach to generative modeling tasks by leveraging the interplay between a quantum generator and a classical discriminator. Our tutorial covers the entire workflow, from data preparation and neural network definitions to setting up the training loop and analyzing results.

Event is Hybrid
In-person - 45 Juta street, Braamfontein, Johannesburg central.
For in-person attendance register here https://ibm.biz/BdvAf4
For online attendance, webinar link will be available upon RSVP.

Pre-requisites:
Quantum computing fundamentals
Machine Learning