Date and time: 07.05.2026 at 9.00-12.00

Place: Dipoli (Klondyke) + Microsoft Teams

Registration deadline: 28 April 2026, Register here

This FCAI-SIG: AI and Quantum Computing brings together researchers and practitioners to explore the latest advances in quantum machine learning and the growing role of AI in quantum computing. Quantum machine learning offers a promising new direction by exploring how quantum technologies can support novel learning models, enhanced computational efficiency, and new forms of AI. It will also provide insight into quantum error correction, a key building block for scalable and reliable quantum hardware.

PROGRAM

9.00- 9.30           Coffee

9.30-10.00          David Karpuk (QMill): Machine Learning Methods for Quantum Algorithms in the NISQ Era

10.00- 10.30      Clemens Lindner (University of Jyväskylä): A basis-dependent kernel method for learning quantum phases of matter

10.30-11.00       Aakash Ravindra Shinde (Helsinki University): Practicalities of Quantum Machine Learning problems

11.00 - 11.30     Tanmoy Pandit (VTT): Leveraging Inner GKP Soft Information for Improved Thresholds in Concatenated QLDPC Decoding

11.30-12.00        Discussion