Quantum Science Seminar #59 - Florian Marquardt скачать в хорошем качестве

Quantum Science Seminar #59 - Florian Marquardt

Florian Marquardt Max-Planck-Institute for the Science of Light Erlangen - Germany Classical Machine Learning for Quantum Technologies In this talk, I will give an overview of current efforts to employ classical machine learning for quantum technologies. Recent years have seen machine learning techniques like deep neural networks revolutionize many fields of science and technology. Since about 2016, they are being applied increasingly with success to challenges for quantum technologies. Examples include the use of neural networks for interpreting measurement results, generation of novel experimental setups, and deep reinforcement learning for discovering strategies in quantum control and feedback or for optimizing quantum circuits.