Rate My Professor Matthias Caro

Matthias Caro is an Assistant Professor in the Department of Computer Science at the University of Warwick, a position he has held since October 2024. There, he is a member of the Foundations of AI and Machine Learning Division and Co-Director of Warwick Quantum, an interdisciplinary initiative fostering quantum technology research across the university. His primary research interests lie at the intersection of quantum information theory and machine learning theory, with a focus on quantum learning theory, including generalization bounds, verification of quantum learning, and applications to dynamical simulation. Prior to joining Warwick, Caro was a postdoctoral researcher at the Free University of Berlin's Institute of Physics in the Quantum Information group, funded by the German Research Foundation, and a postdoctoral visiting research fellow in John Preskill's group at the California Institute of Technology's Institute for Quantum Information and Matter, supported by the Alexander von Humboldt Foundation. He completed his PhD in Mathematics at the Technical University of Munich in July 2022, graduating summa cum laude. He also holds a Master's degree in Mathematics with distinction in 2019 and a Bachelor's degree in Mathematics with distinction in 2016 from the Technical University of Munich.

Caro's academic excellence is recognized by the TopMath Award for exceptional research achievements during his PhD, awarded in February 2023, as well as several scholarships and prizes for outstanding performance in his studies. His key publications include "Generalization in quantum machine learning from few training data" (2022), "Encoding-dependent generalization bounds for parametrized quantum circuits" (2021), "Out-of-distribution generalization for learning quantum dynamics" (2023), "Dynamical simulation via quantum machine learning with provable generalization" (2024), "Classical Verification of Quantum Learning" (2023), "Learning quantum processes and Hamiltonians via the Pauli transfer matrix" (2024), and "Learning quantum states and unitaries of bounded gate complexity" (2024). He leads a reading group on quantum learning and testing, has presented talks on privacy and verification for quantum learning, teaches the CS419 Quantum Computing module, and supervises PhD students.