19. März 2026, Stuttgart, hybrid

Quantum^BW Colloquium

Der Innovationscampus Quantum^BW möchte mit dem »Quantum^BW Colloquium« den wissenschaftlichen Austausch im Bereich Quantencomputing und Quantensensing fördern und lädt deshalb auf dem Campus des Fraunhofer-Institutszentrums Stuttgart ein.

Am 19. März 2026 laden wir zu dem Vortrag von Dr. Julian Berberich vom Institut für Systemtheorie und Regelungstechnik der Universität Stuttgart ein.
Abstract:
Errors occurring on noisy hardware pose a key challenge to reliable quantum computing. Existing techniques such as error correction, mitigation, or suppression typically separate the error handling from the algorithm analysis and design. This talk introduces an alternative, algorithm-centered framework for understanding and improving the robustness against errors. For a given quantum algorithm and error model, I present worst-case fidelity bounds which can be efficiently computed to certify robustness. These results give rise to guidelines for robust algorithm design and compilation by optimizing the theoretical robustness measure. Moreover, tailored results for variational quantum algorithms and quantum machine learning models are presented. The practicality of the framework is demonstrated with numerical results on algorithm analysis and robust optimization, including the robustness analysis of a 50-qubit modular adder circuit.
Short bio:
Julian Berberich is a Senior Lecturer (Akademischer Oberrat) at the Institute for Systems Theory and Automatic Control at the University of Stuttgart, Germany. He received his Ph.D. in Mechanical Engineering in 2022, and a Master’s degree in Engineering Cybernetics in 2018, both from the University of Stuttgart, Germany. In 2022, he was a visiting researcher at ETH Zürich, Switzerland. For his research, he has received various awards including the 2022 George S. Axelby Outstanding Paper Award, the Best Paper Award at the IEEE International Conference on Quantum Control, Computing, and Learning 2025, and the 2025 IEEE Control Systems Magazine Outstanding Paper Award. His research interests are centered around systems and control theory with a focus on data-driven methods and applications in quantum computing.