Introduction to Quantum Computing, Quantum Machine Learning and Optimization

by Carla Sophie Rieger (Technische Universitat Munchen (DE))

Tuesday 15 Jul 2025, 13:30 → 15:30 Europe/Zurich

31/3-004 - IT Amphitheatre (CERN)

This talk starts with an introduction to the fundamental concepts of quantum mechanics and quantum computing. We then gain a basic understanding of quantum algorithms by exploring Deutsch and Grover's algorithms. Building on this, we will explore the key concepts of quantum machine learning (QML). The embedding of classical data and parameter optimisation methods as part of the general data processing pipeline for quantum networks is discussed in the context of parametrised quantum circuits. The presentation concludes with a consideration of the possible advantages and challenges in the QML domain, and with examples of CERN-specific use cases.

Please note that pictures and videos might be taken during the event. The pictures and videos might be used for communication about the event. By joining the lecture, you are agreeing to being featured in these communication actions. 

Recording