QAR-Lab Bavaria

Description

This project further expanded the unique positioning of expertise within the QAR Lab in the field of quantum computing and hybrid optimization. The landscape of available quantum or quantum-inspired computers is rapidly evolving into a diverse collection of systems with different strengths and weaknesses. Therefore, the goal of this project was not only to comprehensively evaluate these systems based on identified use cases, but also to develop concepts, design patterns, and tools that enable the efficient development of corresponding algorithms abstracted across device boundaries, thus supporting the idea of a platform. To this end, a comprehensive subproject investigated, among other things, what tools for the design and implementation of hybrid quantum-classical algorithms must look like in order to enable an efficient and scalable development process.

Another focus of the project was on communicating new scientific findings in a way that is tailored to the target group, with the aim of transferring application-oriented quantum computing know-how to small and medium-sized enterprises. This not only creates a basic understanding of this novel technology, but also serves to uncover existing potential and identify concrete use cases. This was achieved, among other things, by establishing a sustainable network of interested companies and partners, which is linked and maintained through appropriate information and communication events.