Machine Learning for Quantum Technology

Please note that this website refers to a past event - for reference use only

 

May 8-10, 2019, at the Max Planck Institute for the Science of Light in Erlangen, Germany

 

This international workshop covered emerging applications of machine learning to quantum devices, including advanced methods like reinforcement learning.

The workshop was preceded by a two-day school for students trying to enter the field, going from a recap of the basics of neural networks to advanced techniques, May 6-7, 2019.

The 2-day mini-school (Monday/Tuesday) before the workshop, after a brief reminder about the basics, covered somewhat more advanced concepts like recurrent (memory) networks, reinforcement learning, Boltzmann machines, and a brief overview of applications of neural networks in various scientific fields. For more information, have a look at the slides (PDF) for the Tutorials in the School associated with the Workshop Machine Learning for Quantum Technology.


Scientific Organization: Florian Marquardt

Local Organization: Gesine Murphy


Invited Speakers (please click on talk titles to access talk slides):

 

There were also poster presentations, and short contributed talks. Talk slides can be accessed by clicking on the talk titles.

Please also have a look at our schedule and the detailed program.

We would like to inform you that the talks were recorded, in accordance with data protection regulations (DSGVO). The recordings of talks where speakers have kindly agreed to publication can be found here. Thank you very much!

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