CMT Group Seminar | April 06, 09:30

Machine learning for Quantum Control: The Quantum Cartpole

Kai Meinerz

We introduce a new version for the quantum version of the standard reinforcement learning benchmarking problem: the cartpole. The goal is to keep a wavefunction stable on top of an inverted potential, by applying weak measurements and feeding the results to a controller. Our approach shows, that even with minimal measurement information, it is possible to extend the lifetime of the wavefunction, by a significant margin. Our approach works for arbitrary potentials and due to weak measurements makes it feasible for experimental implementation.



Seminar Room 0.03, ETP and Zoom (https://uni-koeln.zoom.us/j/96646818958 )
Contact: Lasse Gresista