Marquardt, Florian

Date:   Tuesday, May 4, 2021
Time:   14:00
Place:   scheduled Zoom meeting
Host:    Géraldine Haack

Deep Learning for Quantum Technologies

Florian Marquardt
MPI Erlangen for Physics of Light, Germany

Machine learning that exploits the power of deep neural networks has the potential to transform the way we do science. In this talk, I will describe our recent efforts to apply deep reinforcement learning to questions related to quantum computation. Reinforcement learning is a technique where the computer discovers from scratch novel strategies to solve a given problem as well as possible. I will recall our initial work on quantum error correction and then will describe our most recent result, where we used deep reinforcement learning to find strategies to optimize quantum circuits.