Quantum Machine Learning

Scientific organizers:

Maximilian Kiefer-Emmanouilidis (RPTU & German Research Center for Artificial Intelligence, Kaiserslautern), Valeria Bartsch (Fraunhofer Center for Maritime Logistics and Services, Hamburg), Elie Mounzer (German Research Center for Artificial Intelligence, Bremen)

August 16 - August 21, 2026, Physikzentrum Bad Honnef, Germany
supported by

 

 

 

Quantum computing has emerged as one of the most promising technologies of the 21st century, yet its practical use cases and programming paradigms remain unfamiliar. At the same time, artificial intelligence and machine learning are transforming research and industry at an unprecedented pace. The intersection of these two areas, Quantum Machine Learning (QML)  represents a rapidly expanding topic, but its concepts are still only partially understood and rarely taught in a coherent, hands-on framework.

Some of the most promising ideas in QML draw on methods and insights that are not widely known outside specialized research groups. Despite their potential, these approaches are rarely presented in summer schools or general machine learning conferences, leaving a significant knowledge gap for young researchers entering the field.

We aim to bridge this gap by providing junior scientists—particularly master’s students nearing graduation, PhD candidates, and early-career postdocs—with a structured introduction to Quantum Machine Learning. The program covers both fundamental concepts and advanced topics and Tensor Networks in AI, fostering interdisciplinary connections. Participants will gain a solid theoretical foundation along with practical, hands-on experience, including the opportunity to run experiments on IQM hardware during the school.

We have identified leading experts whose work sits at the convergence of quantum computing and AI, and who combine scientific excellence with the proven ability to deliver clear and engaging lectures suited to early-career researchers. All of them have agreed to contribute to the school, ensuring that participants receive a rigorous introduction.

Speakers:

• Jeanette Lorenz (Fraunhofer IKS, Institute for Cognitive Systems, Munich, Germany)
• Bob Coecke (Quantinuum, Cambridge, USA)
• Dries Sels (New York University, USA)
• Nico Piatkowski (Fraunhofer IAIS, Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany)
• Iraitz Montalban (Falcondale, Wilmington, USA)
• Max Haeberlein (IQM, Munich, Germany)

More information coming soon...

Online registration will be activated here in January 2026.

FEES: 200 € full board and lodging (for DPG* members 100 € )
* The German Physical Society (DPG)

Attention: There are some fake companies, which pretend to organize your stay in Bad Honnef. Please, be careful and do not reply to them. Your accommodation and full board will be provided exclusively by the Physikzentrum.