79 citations · 169 across the 6 of their papers we have counts for
6 papers
Using Unsupervised Learning to Explore Robot-Pedestrian Interactions in Urban Environments
Sebastian Zug, Georg Jäger, Norman Seyffer +3
This study identifies a gap in data-driven approaches to robot-centric pedestrian interactions and proposes a corresponding pipeline. The pipeline utilizes unsupervised learning te…
Can We Replicate Real Human Behaviour Using Artificial Neural Networks?
Georg Jäger, Daniel Reisinger
Agent-based modelling is a powerful tool when simulating human systems, yet when human behaviour cannot be described by simple rules or maximising one's own profit, we quickly reac…
Parametric squeezing amplification of Bose-Einstein condensates
Georg Jäger, Tarik Berrada, Jörg Schmiedmayer +2
We theoretically investigate the creation of squeezed states of a Bose-Einstein Condensate (BEC) trapped in a magnetic double well potential. The number or phase squeezed states ar…
Optimal quantum control of Bose-Einstein condensates in magnetic microtraps: Comparison of GRAPE and Krotov optimization schemes
Georg Jäger, Daniel Reich, Michael H. Goerz +2
We study optimal quantum control of the dynamics of trapped Bose-Einstein condensates: The targets are to split a condensate, residing initially in a single well, into a double wel…
Optimal quantum control of Bose-Einstein condensates in magnetic microtraps: Consideration of filter effects
Georg Jäger, Ulrich Hohenester
We theoretically investigate protocols based on optimal control theory (OCT) for manipulating Bose-Einstein condensates in magnetic microtraps, using the framework of the Gross-Pit…
Vibrational state inversion of a Bose-Einstein condensate: optimal control and state tomography
Robert Bücker, Tarik Berrada, Sandrine van Frank +6
We present theoretical and experimental results on high-fidelity transfer of a trapped Bose-Einstein condensate into its first vibrationally excited eigenstate. The excitation is d…