Are you fascinated by the intersection of artificial intelligence and quantum physics? This specialized school invites PhD and Master students to explore cutting-edge machine learning techniques applied to complex quantum systems. Organized as part of the Research Unit FOR 5919, the program combines theoretical lectures with comprehensive hands-on coding tutorials to bridge foundational concepts with active research.
Participants choose one of two specialized tracks during Days 2–4:
- Track 1 (Neural Quantum States): Focuses on representing complex many-body wave functions using neural network architectures, variational Monte Carlo, and ground state searches. No prior NQS knowledge is required!
- Track 2 (Reinforcement Learning for Quantum Tech): Covers RL fundamentals, strategies for quantum control optimization, quantum error correction protocols, and quantum circuit dynamics. No prior RL knowledge is required!