Machine Learning: From Quantum Computers to Higgs Bosons and back
Artificial intelligence is revolutionizing research and business, especially in quantum science. The lecture presents modern techniques of (quantum) machine learning, advances in quantum hardware & anomaly detection - with a focus on applications and bridges to the quantum paradigm.
Artificial intelligence holds promise to revolutionize not only our daily lives but also the way we conduct research and business. Already today, it is a driving force in quantum science and technology. Particularly exciting fields of application are characterizing quantum devices, analysis of high‐energy physics experiments, and real‐world problems.
In this talk, I will present state‐of‐the‐art techniques and recent results in (quantum) machine learning. I will highlight advances in learning models for state‐of‐the‐art quantum hardware, for classification and anomaly detection, and generative quantum machine learning applied to classical data sets. I will thus showcase the potential to bridge quantum and classical learning paradigms and to identify practical use cases for quantum machine learning.
Presentation language: EN
Speakers (1)
Dr. Florentin Reiter
Head of Business Unit Quantum Systems, Fraunhofer Institute for Applied Solid State Physics (IAF)
