Dr. Johannes Klepsch

Abstract The complexity is increasing rapidly in many areas of the automotive industry. The design of an automobile involves many different engineering disciplines and various tradeoffs. The vehicle software and hardware system comprise millions of lines of code. Complex processes, such as manufacturing, logistics, distribution and sales, need to be handled. In all these domains, myriads of optimization problems arise. Quantum computing-based optimization approaches promise to overcome some of the inherent scalability limitations of classical systems. This presentation investigates quantum computing applications across the automotive value chain and evaluates their suitability for quantum-based methods.