  Quantum computers are becoming real. Therefore, it is promising to use their
potentials in different applications areas, which includes research in the
humanities. Due to an increasing amount of data that needs to be processed in
the digital humanities the use of quantum computers can contribute to this
research area. To give an impression on how beneficial such involvement of
quantum computers can be when analyzing data from the humanities, a use case
from the media science is presented. Therefore, both the theoretical basis and
the tooling support for analyzing the data from our digital humanities project
MUSE is described. This includes a data analysis pipeline, containing e.g.
various approaches for data preparation, feature engineering, clustering, and
classification where several steps can be realized classically, but also
supported by quantum computers.
