Summary
Mateusz Slysz is a quantum computing researcher with eight years of experience at the intersection of computer science and physics, focusing on discrete optimization and machine learning applications for quantum hardware. Based in Greater Poland, he has progressed from particle-physics internships using deep neural networks to a research role at the Poznan Supercomputing and Networking Center, where he’s worked on quantum algorithms and practical implementations since 2020. He holds dual degrees in computer science and physics and is pursuing a PhD, blending rigorous theoretical foundations with hands-on software development. Known for bridging research and engineering, he brings experience reconstructing particle tracks with DNNs and producing reproducible, applied research that targets near-term quantum advantage.
8 years of coding experience
2 years of employment as a software developer
PhD, PhD at Poznan University of Technology
BSc, Physics, BSc, Physics at Adam Mickiewicz University, Poznan
English, German, Polish