Research
I am currently doing my PhD in quantum machine learning at the University of Warsaw. More specifically I focus on the time series prediction using quantum enhanced machine learning.
During my bachelor I have worked on a Monte Carlo simulation of neutrino collisions [LINK], and during my master I have been working on the dynamics of open quantum systems.
Publications
- Siemaszko, M., Buraczewski, A., Le Saux, B., & Stobińska, M. (2023). Rapid training of quantum recurrent neural networks. Quantum Machine Intelligence, 5(2), 31.
- Bonus, T., Sobczyk, J. T., Siemaszko, M., & Juszczak, C. (2020). Data-based two-body current contribution to the neutrino-nucleus cross section. Physical Review C, 102(1), 015502.
Conferences and summer schools
- Summer School on Mid-Infrared Quantum Sensing and Technologies (MIRAQLS), 23–28.06.2024, Warsaw (Poland)
- Masovian Symposium on Quantum, Optical and Atomic Physics (MASQOT), 10–11.06.2024, Warsaw (Poland)
- QUANTUMatter2024 Conference, 7-10.05.2024, San Sebastian (Spain)
- Summer school: Mathematical foundations of Quantum Machine Learning, 10–14.07.2023, Trento (Italy)
- Quantum Techniques in Machine Learning 2022, 7–12.11.2022, Naples (Italy)
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 19–23.09.2022, Grenoble (France)
- VCQ & AppQInfo Summer School 2022, 29.08–2.09.2022, Vienna (Austria)
- Esquisses Summer School, 4–8.07.2022, Porquerolles (Francja)
Scientific visits
- Scientific visit, 24–25.03.2025, Vienna (Austria)
- Scientific visit, 09–10.04.2024, Vienna (Austria)
- Scientific visit, 19–20.10.2023, Vienna (Austria)
- Visiting researcher in ESA Φ-lab, 02–06.2022, Frascati (Italy)
Others
- Co-organizer of Skłodowska Quantum Conference, 02–04.10.2024, Warsaw (Poland)