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Tobias Fellner

PhD student | Quantum Machine Learning | Quantum Reservoir Computing

Hi, I'm Tobias, a PhD student in physics at the University of Stuttgart. I explore how quantum physical systems can be utilized for machine learning, specifically for predicting and analyzing time series data. While my primary focus is on quantum reservoir computing, my research also covers variational quantum algorithms, the robustness of quantum machine learning models, and physical reservoir computing. I work at the Institute for Computational Physics under the supervision of Prof. Dr. Christian Holm, and am affiliated with the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and the SimTech Graduate School.

Latest News

01/2026: Our work "Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning" was published in Machine Learning: Science and Technology.
01/2026: New arXiv preprint: "Robustness of quantum algorithms: Worst-case fidelity bounds and implications for design".
11/2025: I presented two posters on "Quantum vs. classical: A comprehensive benchmark study for time series prediction using variational quantum algorithms" and "Generating quantum reservoir state representations with random matrices" at Quantum Techniques in Machine Learning 2025 in Singapore.
09/2025: Earned the IOP trusted reviewer status.
09/2025: I gave a talk on "Generating reservoir state descriptions with random matrices" at the European Conference on Numerical Mathematics and Advanced Applications in Heidelberg, Germany.
06/2025: New arXiv preprint: "The interplay of robustness and generalization in quantum machine learning".
04/2025: I presented a poster on "Generating quantum reservoir state representations with random matrices" at Quantum Computing: Theory in Practice 2025 in Berlin, Germany.
03/2025: Our work "Generating quantum reservoir state representations with random matrices" was published in Machine Learning: Science and Technology.
03/2025: I gave a talk and presented a poster at the DPG Spring Meeting 2025 in Bonn, Germany.
10/2024: Started my PhD at the Institute for Computational Physics.
10/2024: Successfully defended my Master Thesis: "Quantum machine learning for time series prediction".
09/2024: I presented a poster on "Random quantum reservoir measurements for time series forecasting" at the European Summer School on Quantum AI 2024 in Lignano Sabbiadoro, Italy.

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