Date: Tuesday 12 May 2026 – 15:00 (Europe/London)
Speaker: Sofia Vallecorsa, Researcher in the fields of Scientific Computing, Machine Learning and Quantum Computing with applications in High Energy Physics at CERN
Abstract
The CERN Quantum Technology Initiative (QTI) was launched in 2020 with the aim of investigating the role that quantum technologies could have within the High Energy Physics (HEP) research program. Multiple results were gathered, outlining benefits, constraints and limitations of introducing technologies in different HEP domains, from advanced sensor for next generation detectors, to computing. These findings are being used to define of a longer-term research plan, closely aligned with the technological development of quantum infrastructure and the HEP priorities. This talk will summarize the experience accumulated through the past years, outlining the main QTI research results.
Biography
Sofia is a researcher in the fields of Scientific Computing, Machine Learning and Quantum Computing with applications in High Energy Physics at CERN. PhD in Physics, she has expertise in Machine Learning and Deep Learning. Currently, she focuses on the intersection between AI and Quantum Computing. She is the coordinator of the CERN Quantum Technology Initiative, leading a team dedicated to the investigation of the potential impact of quantum technologies in High Energy Physics. Sofia also leads the Computing and Data Science section in the IT Department at CERN.
