  While we expect quantum computers to surpass their classical counterparts in
the future, current devices are prone to high error rates and techniques to
minimise the impact of these errors are indispensable. There already exists a
variety of error mitigation methods addressing this quantum noise that differ
in effectiveness, and scalability. But for a more systematic and comprehensible
approach we propose the introduction of modelling, in particular for
representing cause-effect relations as well as for evaluating methods or
combinations thereof with respect to a selection of relevant criteria.
