  Quantum computing (QC) and machine learning (ML), taken individually or
combined into quantum-assisted ML (QML), are ascending computing paradigms
whose calculations come with huge potential for speedup, increase in precision,
and resource reductions. Likely improvements for numerical simulations in
engineering imply the possibility of a strong economic impact on the
manufacturing industry. In this project report, we propose a framework for a
quantum computing-enhanced service ecosystem for simulation in manufacturing,
consisting of various layers ranging from hardware to algorithms to service and
organizational layers. In addition, we give insight into the current state of
the art of applications research based on QC and QML, both from a scientific
and an industrial point of view. We further analyse two high-value use cases
with the aim of a quantitative evaluation of these new computing paradigms for
industrially-relevant settings.
