The »Self-Learning Systems« group at Fraunhofer IIS is part of the »Precise Positioning and Analytics« department in Nuremberg. Our team members have diverse academic backgrounds like computer science, engineering and physics. One of our research goals is to provide robust and safe algorithmic solutions for control and decision-making tasks in complex dynamic environments. To this end, we employ a range of approaches from machine learning and deep learning in combination with reinforcement-learning techniques.
»Quantum Machine Learning« is an emerging research field at the cross - section of artificial intelligence and quantum computation. Spurred by recent experimental claims of so-called quantum advantage or utility, the research community has increased its efforts to propose new types of quantum algorithms for the still imperfect quantum computing devices we have today. At the »Self-Learning Systems« group, we want to explore the overlap of quantum computing and machine learning.
Would you like to expand your knowledge and programming skills at the intersection of quantum computing and machine learning?
Then have a look at our offer!
