  Due to the fragility of quantum mechanical effects, real quantum computers
are plagued by frequent noise effects that cause errors during computations.
Quantum error-correcting codes address this problem by providing means to
identify and correct corresponding errors. However, most of the research on
quantum error correction is theoretical or has been evaluated for specific
hardware models only. Moreover, the development of corresponding codes and the
evaluation of whether they indeed solve the problem for a particular hardware
model, still often rests on tedious trial-and-error thus far. In this work, we
propose an open-source framework that supports engineers and researchers in
these tasks by automatically applying error-correcting codes for a given
application followed by an automatic noise-aware quantum circuit simulation.
Case studies showcase that this allows for a substantially more efficient
implementation and evaluation of error-correcting codes.
