Rate My Professor Matti Raasakka

Matti Raasakka serves as University Lecturer in the Department of Electronics and Nanoengineering at Aalto University, where he is also affiliated with the Ilkka Tittonen Group. He earned his doctoral degree in Natural Sciences from Freie Universität Berlin in 2014. His academic work centers on quantum computing, quantum simulation, quantum machine learning, post-quantum cryptography, and error mitigation in quantum systems, with additional emphasis on quantum information and gravity. In his role at Aalto University, Raasakka contributes to teaching and research in these areas, supporting advancements in quantum technologies for near-term practical applications. Key publications include Induced quantum gravity from QFT vector models in 2026, Quantum Minimal Learning Machine: A Fidelity-Based Approach to Error Mitigation in 2026, Noisy quantum simulation: Performance and resource considerations for the Tavis-Cummings and Heisenberg models in 2025, Partially reflecting jamming objects in correlation-enhanced target detection with entangled photons in 2024, and Exploring the optimality of approximate state preparation quantum circuits with a genetic algorithm in 2023. These works demonstrate his ongoing contributions to the fields of quantum physics and related computational methods. Raasakka maintains an active presence in academic research through collaborations and publications that address challenges in quantum systems and optimization algorithms.