Q 67: Machine Learning
Freitag, 15. März 2024, 14:30–16:30, Aula
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14:30 |
Q 67.1 |
Hauptvortrag:
Towards an Artificial Muse for new Ideas in Quantum Physics — •Mario Krenn
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15:00 |
Q 67.2 |
Artificial Intelligence for Quantum Sensing — •Victor Jose Martinez Lahuerta, Jan-Niclas Kirsten-Siemß, and Naceur Gaaloul
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15:15 |
Q 67.3 |
Optimizing the active isolation of an optical table with machine learning — •Jan-Niklas Feldhusen, Artem Basalaev, and Oliver Gerberding
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15:30 |
Q 67.4 |
Evalutation of machine learning algorithms for applications in quantum gas experiments — •Oliver Anton, Victoria Henderson, Elisa Da Ros, Philipp-Immanuel Schneider, Ivan Sekulic, Sven Burger, and Markus Krutzik
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15:45 |
Q 67.5 |
Machine learning optimal control pulses in an optical quantum memory — •Elizabeth Robertson, Luisa Esguerra, Leon Messner, Guillermo Gallego, and Janik Wolters
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16:00 |
Q 67.6 |
Bayesian Optimization for Robust State Preparation in Quantum Many-Body Systems — •Tizian Blatz and Annabelle Bohrdt
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16:15 |
Q 67.7 |
The contribution has been withdrawn.
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