Max Planck Institute for the Science of Light,
TITLE: Better Quantum Computers via Machine Learning
Machine learning is producing a revolution in science and technology. Complex quantum devices require sophisticated control. Discovering such control strategies from scratch with the help of machine learning will enable us to keep pace with the ever-increasing demands encountered when scaling up quantum computers. In this talk, I will describe how the field of reinforcement learning can deliver on this promise. I will present examples ranging from the optimization of quantum circuits to the model-based discovery of better quantum feedback strategies. Moreover, in a recent collaboration with our experimental colleagues, we could show how to train a novel latency-optimized neural network by reinforcement learning in an experiment, acting on a superconducting qubit in cycles of less than one microsecond.
Prof. Dr. Florian Marquardt
Max Planck Institute for the Science of Light, Erlangen, Germany
Florian Marquardt is a theoretical physicist, mostly working at the intersection of nanophysics and quantum optics. He obtained his PhD at the university of Basel, Switzerland. From there he moved to Yale University, USA, where he was a postdoctoral fellow. Returning to Germany, he became a junior professor and Emmy-Noether group leader at the Ludwig-Maximilians University Munich. Having been appointed to full professor at the Friedrich-Alexander University Erlangen-Nuremberg, he joined the Max Planck Institute for the Science of Light (MPL). Prof. Dr. Florian Marquardt is currently the scientific director there.
Venue: Room No. 21, VMCC Auditorium, IIT Bombay
You can watch the event here