Freiburg 2019 –
wissenschaftliches Programm
FM 23: Quantum & Information Science: Neural Networks, Machine Learning, and Artificial Intelligence I
Montag, 23. September 2019, 16:30–18:30, 3043
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16:30 |
FM 23.1 |
Invited Talk:
Learning to violate Bell inequality with reinforcement learning — •Alexey Melnikov, Pavel Sekatski, and Nicolas Sangouard
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17:00 |
FM 23.2 |
Invited Talk:
A framework for deep energy-based reinforcement learning with quantum speed-up — •Sofiene Jerbi, Hendrik Poulsen Nautrup, Lea Trenkwalder, Hans Briegel, and Vedran Dunjko
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17:30 |
FM 23.3 |
Machine learning for quantum chemistry with quantum computers — •Tomislav Piskor
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17:45 |
FM 23.4 |
Improving the dynamics of quantum sensors with reinforcement learning — Jonas Schuff, •Lukas Fiderer, and Daniel Braun
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18:00 |
FM 23.5 |
Photonic architecture for reinforcement learning — •Fulvio Flamini, Arne Hamann, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, and Hans J. Briegel
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18:15 |
FM 23.6 |
Machine Learning on Near-Term Universal Quantum Computers — •Manuel Rudolph, Fred Jendrzejewski, and Sebastian Schmitt
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