Warsaw Quantum Computing Group

We invite you to attend (remote-only) Episode XXXIX of the Warsaw Quantum Computing Group meetings!

11.04.2022, 18:00 CEST

Marcin Płodzień

"Reinforcement Learning for Quantum Technologies”

Video recording: https://www.youtube.com/watch?v=-r0QVxkH-wk

Slides: https://drive.google.com/file/d/1EMF2etl60a8PwW46ylzY3HCfFT45f-1Z/view?usp=sharing

Abstract from Marcin:

In this talk we will provide an introduction to quantum simulators and reinforcement learning. Next, we will discuss how reinforcement learning can be utilized in quantum technologies. As an example we will focus on quantum feedback control and quantum circuits optimization.

Marcin Płodzień is a theoretical physicist specializing in the field of quantum technologies with a focus on quantum simulators. After obtaining his Ph.D. degree in theoretical physics (Kraków, 2014), he joined Eindhoven University of Technology (Eindhoven, the Netherlands) working in the field of Rydberg atom-based quantum simulators. In 2017 he joined Institute of Physics Polish Academy of Sciences (Warsaw, Poland) working in the field of topological phases and deep learning for quantum physics. Currently he works as a postdoctoral researcher at ICFO – Insitute of Photonic Sciences (Barcelona, Spain) on the utilization of machine learning in quantum technologies, and the generation of entangled states in quantum simulators.

This meeting is organized by the Quantum AI Foundation.

Strategic Partners: Snarto, Cogit