  Over the past decade, Artificial Intelligence (AI) has provided enormous new
possibilities and opportunities, but also new demands and requirements for
software systems. In particular, Machine Learning (ML) has proven useful in
almost every vertical application domain. In the decade ahead, an unprecedented
paradigm shift from classical computing towards Quantum Computing (QC), with
perhaps a quantum-classical hybrid model, is expected. We argue that the
Model-Driven Engineering (MDE) paradigm can be an enabler and a facilitator,
when it comes to the quantum and the quantum-classical hybrid applications.
This includes not only automated code generation, but also automated model
checking and verification, as well as model analysis in the early design
phases, and model-to-model transformations both at the design-time and at the
runtime. In this paper, the vision is focused on MDE for Quantum AI,
particularly Quantum ML for the Internet of Things (IoT) and smart
Cyber-Physical Systems (CPS) applications.
