QCHALLenge
QCHALLenge solves optimization problems in production and logistics using existing QC hardware

QCHALLenge solves optimization problems in production and logistics using existing QC hardware
The project QCHALLenge solves optimization problems in production and logistics using existing quantum computing (QC) hardware. To this end, algorithms, concepts and tools are being developed to enable the low-threshold use of QC across all industries.
BASF, BMW, SAP and Siemens represent the user side in the consortium, while LMU contributes its many years of experience in the field of QC software. QCHALLenge thus builds directly on the results of the PlanQK project. The consortium is complemented by the SME AQARIOS as a focussed software and technology partner, which is responsible for the development and implementation of QC solutions, among other things, as part of two extensive R&D subcontracts.
QCHALLenge focusses on the domains of production and logistics due to their key role for the German economy. This results in use cases such as the optimization of supply chains and warehouses and the use of QC in automation. Implementations are primarily carried out in hybrid form and are designed in such a way that customers quickly benefit from a quantum advantage without having to familiarize themselves with the QC technology. The results are utilized as part of the use and sale of the software tools developed. The customized problem-solving approaches are also utilized by the application partners, and the knowledge gained in dealing with QC by the technology partners.
QCHALLenge thus enables the establishment of an ecosystem for the economic application of QC and strengthens the technological sovereignty of the German economy.