For Thursday 29 March 2018 we will discuss ideas related to the control and preparation of quantum states (sometimes called a shortcut to adiabaticity), in particular, using techniques such as Machine Learning to optimize experimental protocols for producing interesting signals. This was motivated by the following article:

A related article describes a video game developed to try to get human participants to improve the global optimization of quantum control:

Here they report that humans were able to find better solutions than the optimization algorithms they applied. This was described in a TEDxAarhus talk: