Research and Innovation Center Applied Quantum AI

Quantum computing and artificial intelligence (AI) are fundamentally transforming our conceptual and practical approaches to data processing and problem-solving. Considerable potential lies in the integration of these two fields. The Research and Innovation Center "Application-Oriented Quantum AI" investigates the interface at which emerging computational paradigms converge with adaptive, learning-based systems. Its mission is to foster the practical convergence of quantum computing and AI, with a strong emphasis on application relevance. The overarching objective is to translate Quantum AI from a visionary concept into an operational reality. By means of interdisciplinary research, the development of concrete use cases, and structured knowledge transfer, the center generates practice-oriented solutions for stakeholders in industry, academia, and society. In doing so, Quantum AI is positioned as a foundational element of future value creation.

Research Areas

  • Algorithms and Use Cases in Quantum AI

    The development of novel algorithms and application-driven use cases opens new pathways for leveraging quantum computing in the service of artificial intelligence.

  • Business Models and Tools for Quantum Technologies

    To facilitate the successful translation of quantum technologies into industrial and economic contexts, future-oriented business models and practice-based tools are being developed.

  • Knowledge Transfer in Quantum AI

    Through innovative educational initiatives and collaborative exchange formats with regional educational institutions, Quantum AI is made more accessible.

  • Ecosystem Development and Empowerment

    A dynamic innovation ecosystem flourishes where research, industry, and policy intersect to establish shared visions. Strategic partnerships and purpose-driven networks play a central role in reinforcing this ecosystem and promoting the sustainable advancement of quantum technologies.

Management and participating institutes

Univ.-Prof. Dr.-Ing. Oliver Riedel

Director Fraunhofer IAO

 

Fraunhofer IAO

 

Fraunhofer IPA