Fraunhofer-Institut für Integrierte Schaltungen IIS

As an application-oriented research institution, we think ahead technologically, drive ideas forward and see ourselves as a driving force for tomorrow's technologies and applications. We know the needs of our clients from industry and the public sector and advance the current state of the art. Based on our expertise and experience, we develop sustainable, technologically ambitious solutions that help our clients and us to compete in national and international markets. With our research results, we contribute to overcoming societal challenges. To support application-oriented education of young people, we also contribute our findings to teaching at universities and colleges.

#WeKnowHow

Fraunhofer IIS is one of the world's leading application-oriented research institutions for microelectronic and information technology system solutions and services. For our customers and partners from industry and the public sector, we develop, implement and optimize processes, products and systems until they are ready for use and the market. With our internationally networked cutting-edge research, we contribute to the success of industry and the well-being of society.

The Fraunhofer brand stands for contract research at the highest international level. Fraunhofer IIS offers commercial and industrial enterprises a variety of opportunities for collaboration, ranging from research and development services, licensing of technologies and systems, technology integration and development of components to project support consulting and the preparation of market studies.

Through its expertise in hardware and algorithms, Fraunhofer IIS is an important supplier of know-how relevant to the development and practical implementation of quantum technologies, e.g. for quantum computing: We design and develop electronic components for the efficient control and manipulation of quantum systems, including components from the high and very high frequency range, as well as fast electronics for real-time processing, and contribute our expertise in circuit integration and message transmission to develop electronic systems for the highest qubit scalability and actuation qualities. We also consider interfaces to algorithmic and higher layers. Based on our expertise in machine learning, deep learning, and reinforcement learning, we are developing hybrid techniques that leverage quantum computing and conventional, classical computing. This improves and accelerates the learning procedure of reinforcement learning methods for generating control strategies in dynamic and stochastic optimal control problems. This allows better approximate control strategies to be found in less time for time-critical and computationally intensive applications.