Quantum Machine Learning & PennyLane

In the latest QWebinar, we will host Maria Schuld with her lecture “Quantum Machine Learning & PennyLane.”
She will talk about different aspects of “variational quantum machine learning algorithms”, including their role in the development of near-term quantum technologies, their interpretation as a cross-breed of neural networks and support vector machines, and strategies of fitting the quantum model to data. As a practical implementation, she will show how to use the open-source software framework “PennyLane” to integrate quantum circuits with machine learning libraries such as PyTorch and Tensorflow.

The QWebinar will start at 18:00 (CEST) on June 17, 2020.

Moderators: Abuzer Yakaryilmaz (QWorld & QLatvia) and Ayşin Taşdelen (QTurkey)
Organizers: Abuzer Yakaryilmaz (QWorld & QLatvia) and Agnieszka Wolska (QWorld)

About Maria:

Maria Schuld works as a researcher for the Toronto-based quantum computing start-up Xanadu, as well as for the Big Data and Informatics Flagship of the University of KwaZulu-Natal in Durban, South Africa.

Check our QWebinar page for further details and application form!