Quantum computing for
Earth Observation

Biography:

Artur Miroszewski is a postdoctoral researcher at Jagiellonian University. He obtained his Ph.D. in 2021 from the National Centre for Nuclear Research, Warsaw, Poland, in the field of theoretical physics. His doctoral thesis investigated the potential existence of quantum gravitational effects in the early universe, proposing a primordial singularity avoidance scenario known as the Big Bounce. His research also explored possible observational signatures of this scenario within the gravitational waves spectrum. Currently, Artur is actively involved in a European Space Agency project focusing on the exploration of quantum machine learning applications for satellite data analysis. His primary focus revolves around the utilization of quantum kernel methods for classification tasks.

Biography:

Amer Delilbasic received his Bachelor and Master degree (cum laude) in Information and Communication Engineering from the University of Trento, Italy, in 2019 and 2021 respectively. He is currently pursuing his PhD in Computational Engineering at the Jülich Supercomputing Centre, Germany, and the University of Iceland, Iceland.

His research is mainly focused on machine learning and optimization based on quantum computing and high-performance computing for Earth observation. He has co-authored several articles to reputed journals and conferences for the sector of remote sensing. He has been a Visiting Researcher with Φ-lab, European Space Agency ESA/European Space Research Institute ESRIN. He has won an ESA OSIP proposal in 2021.