Florian Marquardt
Max Planck Institute for the Science of Light and
Department of Physics, Friedrich Alexander University, Erlangen, Germany
Date
10 April 2019
Host
Sebastian Huber
Title
Neural Networks Discovering Quantum Error Correction Strategies
Abstract
Machine learning with artificial neural networks is revolutionizing science. The most advanced challenges require discovering strategies autonomously (reinforcement learning). The power of neural-network-based reinforcement learning has been highlighted by spectacular successes such as playing Go. Here, we show how a network-based “agent” can discover complete quantumerror-
correction strategies, protecting a collection of qubits against noise.
Reinforcement Learning with Neural Networks for Quantum Feedback
Thomas Fösel, Petru Tighineanu, Talitha Weiss, Florian Marquardt
Physical Review X 8(3) (2018)
