The Quantum Machine Learning School 2026 is the official successor to the successful QUIKSTART Winter School by QUIP and builds on its achievements. Following the strong success of the QUIP schools, which provided hands-on training for young researchers in quantum computing and artificial intelligence, the program is now being elevated to a new level thanks to generous funding from the Wilhelm and Else Heraeus Foundation.
From August 16 to 21, 2026, in Bad Honnef, master’s students, doctoral candidates, and postdoctoral researchers will gain practical experience in Quantum Machine Learning (QML)—combining solid theoretical foundations, hands-on exercises using IQM hardware, and direct exchange with experts from the QUIP network. The school is organized by Maximilian Kiefer-Emmanouilidis (RPTU Kaiserslautern-Landau and German Research Center for Artificial Intelligence), an active member of the QUIP network, and Valeria Bartsch (Fraunhofer Center for Maritime Logistics and Services), a former QUIP member. Both contribute to continuing and further developing the tradition of the Winter School.
The program combines in-depth knowledge, practical experience, and interdisciplinary networking, offering a unique opportunity to dive into one of the most promising research fields of the future.
For more information and to register for the Quantum Machine Learning School 2026, visit Quantum Machine Learning — DPG.