[DSC Europe 2020] Quantum machine learning with PennyLane - Thomas Bromley

PennyLane is a Python-based library for quantum differentiable programming. It combines quantum circuits with existing machine learning frameworks to create unique hybrid models. This talk provides an introduction to quantum machine learning and PennyLane, showing you how to set up and train quantum models for machine learning problems.

Tom studied Physics in the UK. After graduating, he moved straight to Xanadu to join the quantum machine learning team. As well as research, Tom's role includes software development and engaging with clients on potential quantum solutions.

This talk was presented during Data Science Conference Europe 2020 as a part of the Quantum Computing & ML track.