$$\mathrm{Q(AI)}^2$$: Quantum Artificial Intelligence for the Automotive Industry
Tobias Stollenwerk, Somtapa Bhattacharya, Michele Cattelan, Alessandro Ciani, G. Compostella, David Headley, Johannes Klepsch, Matthias Klusch, Markus Leder, Antonio Macaluso, Kristel F. L. Michielsen, Dmytro Nabok, Anestis Papanikolaou, Alexander Rausch, Marco Schumann, Andrea Skolik, Sheir Yarkoni, Frank K. Wilhelm · Künstliche Intell. · 2024
The goal of the project \(\mathrm{Q(AI)}^2\) was to acquire a broader basis of quantum computing enhanced AI and optimization algorithms for potential applications in the automotive industry. In particular, we strove to assess the potential for quantum advantage for specific use cases from the automotive industry. For this, we developed quantum algorithmic solutions tailored both to the available hardware as well as to the industrial problems at hand. In addition, we ensured industrial relevance of the investigated applications by the constitution of the consortium, involving all three large German car manufactures VW, Mercedes-Benz and BMW as well as Bosch as a central component supplier. Forschungszentrum Jülich and the German Center for Artificial Intelligence (DFKI) provided the necessary expertise in AI and quantum computing methods.