Quantum computing and artificial intelligence (AI) fundamentally transform our understanding of data processing and problem-solving. Synergistically combining these two technologies offers particularly great potential for innovation. The Applied Quantum AI research and innovation center dedicates itself to researching this interface, where innovative computational paradigms converge with adaptive, learning-based systems. The Center focuses on the practical integration of quantum computing and artificial intelligence. The aim is to establish Quantum AI as an operational reality that can be used and adapted to different use cases. By means of interdisciplinary research, the development of concrete use cases, as well as structured knowledge transfer, outcome-oriented approaches are developed for the economy, science, and for society. In this way, Quantum AI will become a key element of future value creation systems.
Key topics:
- Algorithms and Use Cases in Quantum AI
Novel algorithms and application-oriented use cases open new pathways for leveraging the performance of quantum computing for artificial intelligence.
- Business Models and Tools for Quantum Technologies
Pioneering business models and practice-oriented tools are being developed to enable the successful transfer of quantum technologies to economic and industrial contexts.
- Knowledge Transfer for Quantum AI
Quantum AI is being made accessible through innovative educational initiatives and exchange formats with regional educational institutions. Scientific findings are being put into practice.
- Ecosystem Development and Empowerment
A dynamic innovation ecosystemgrows whenever the fields of research, business and politics come together to create shared perspectives. Strategic partnerships strengthen the ecosystem and promote sustainable technological development.