My talks

Here is an overview of (most of) the talks I've given about my research, many of them with links to slides and videos:

• Nov 24, 2025: Covert Quantum Learning: Privately and Verifiably Learning from Quantum Data, CQT Singapore, invited by Lirandë Pira and Patrick Rebentrost (slides)

• Nov 21, 2025: Testing classical properties from quantum data, QTML 2025

• Nov 18, 2025: Interactive proofs for verifying (quantum) learning and testing, QTML 2025

• Nov 16, 2025: Testing and Verification for Quantum Learning, QTML 2025, (slides)

• Oct 27, 2025: Covert Quantum Learning: Privately and Verifiably Learning from Quantum Data, AIMS Cape Town, 1st AIMS Workshop and School on The Theory of Quantum Learning Algorithms (slides)

• Jul 11, 2025: Verifiably Delegating Quantum Learning With Interactive Proofs, University of Warwick, Warwick Quantum Launch Event

• Jun 26, 2025: Interactive proofs for verifying (quantum) learning and testing, The Galileo Galilei Institute For Theoretical Physics, "Understanding Quantum Machine Learning" Workshop, invited by Leonardo Banchi, Giacomo De Palma, Anderson Hernandez, Dario Trevisan

• Jun 17, 2025: Learning quantum states and unitaries of bounded gate complexity, University of Edinburgh, Foundations of Quantum Computing (FQC) 2025, invited by Mina Doosti

• Jan 16, 2025: Interactive proofs for verifying (quantum) learning and testing, University of Cambridge, Department of Computer Science and Technology, invited by Tom Gur (slides)

• Dec 18, 2024 : Interactive proofs for verifying (quantum) learning and testing" at the The University of Edinburgh, Quantum Software Lab, invited by Elham Kashefi and Mina Doosti

• Dec 05, 2024: Learning quantum states and unitaries of bounded gate complexity, Stellenbosch University, invited by Francesco Petruccione and Graeme Pleasance

• Sep 12, 2024: Information-theoretic generalization bounds for learning from quantum data, TQC 2024 (video)

• Jun 25, 2024: (Un-)Decidability and (Un-)Computability in Machine Learning, University of Konstanz, Network Platform "Connecting Statistical Logic, Dynamical Systems and Optimization", invited by Lothar Sebastian Krapp

• Jun 03, 2024: Learning quantum states and unitaries of bounded gate complexity, Quantinuum, invited by Frederic Sauvage

• May 28, 2024: Hamiltonian Property Testing, Télécom Paris, QURIOSITY (slides), invited by Cambyse Rouzé

• Mar 18, 2024: Information-theoretic generalization bounds for learning from quantum data, DPG Spring Meeting 2024 (slides)

• Feb 14, 2024: Learning quantum states and unitaries of bounded gate complexity, University of Warwick Computer Science Colloquium, invited by Long Tran-Thanh and Yulia Timofeeva (slides)

• Jan 31, 2024: Classical Verification of Quantum Learning, ITCS 2024 (video)

• Nov 24, 2023: Classical Verification of Quantum Learning, Technical University of Munich, TopMath Alumnus Talk

• Nov 07, 2023: Classical Verification of Quantum Learning, IQC Quantum Innovators 2023, invited by William Slofstra, David Gosset, and Debbie Leung

• Nov 02, 2023: Classical Verification of Quantum Learning, Harvard University, invited by Anurag Anshu

• Oct 17, 2023: Classical Verification of Quantum Learning, IPAM Workshop "Mathematical Aspects of Quantum Learning", invited by Srinivasan Arunachalam, Jens Eisert, Marika Kieferova, Jarrod McClean, and Nathan Wiebe (slides, video)

• Sep 19, 2023: Classical Verification of Quantum Learning, QAISG QML Seminar Singapore (online), invited by Beng Yee Gan, Kishor Bharti, and Alessandro Luongo (slides, video),

• Jul 28, 2023: Out-of-distribution generalization for learning quantum dynamics and dynamical simulation, 18th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2023, slides, video)

• May 26, 2023: Information-theoretic upper and lower bounds in quantum machine learning, 7th London Symposium on Information Theory (LSIT 2023), invited by Osvaldo Simeone

• Apr 27, 2023: Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix, Los Alamos National Laboratory, Quantum Lunch Seminar, invited by Martín Larocca and Frédéric Sauvage (slides)

• Mar 10, 2023: Out-of-distribution generalization for learning quantum dynamics and dynamical simulation, APS March Meeting 2023 (slides)

• Feb 23, 2023: Quantum Computing Meets Machine Learning -- A Maths/TCS Perspective, University of Warwick Computer Science Colloquium, invited by Tom Gur

• Jan 12, 2023: Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix, FU Berlin Quantum Learning Theory Seminar (online), invited by Jens Eisert and Antonio Anna Mele

• Oct 21, 2022: Out-of-distribution generalization for learning quantum dynamics and dynamical simulation, 24th Annual Southwest Quantum Information and Technology Workshop (SQuInT 2022, slides)

• Jul 15, 2022: Generalization guarantees for variational quantum machine learning, 17th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2022, slides, video)

• Jun 15, 2022: Out-of-distribution generalization for learning quantum dynamics, Computer Science Seminar, CQT Singapore (online), invited by Josep Lumbreras Zarapico and Marco Tomamichel (slides, video)

• Mar 31, 2022: Generalization guarantees for variational quantum machine learning, QML Meetup (online), invited by Amira Abbas, Aroosa Ijaz, and Antal Szava (slides, video)

• Mar 31, 2022: Topics in Quantum Machine Learning, FU Berlin, Dahlem Center for Complex Quantum Systems, QML Reading Group (online), invited by Jens Eisert and Elies Gil-Fuster (slides, video)

• Mar 02, 2022: Generalization in quantum machine learning from few training data, Friedrich-Alexander-Universität, Chair for Quantum Theory (online), invited by Sam Wilkinson (slides)

• Feb 08, 2022: Generalization in quantum machine learning from few training data, Xanadu Quantum Technologies (online), invited by Maria Schuld (slides)

• Feb 02, 2022: Topics in Quantum Machine Learning, Laboratoire de Physique Théorique, Toulouse, invited by Ion Nechita (slides)

• Jan 26, 2022: Generalization in quantum machine learning from few training data, Københavns Universitet, QMATH Centre, QLunch, invited by Andreas Bluhm and Albert Werner (slides)

• Dec 16, 2021: Generalization in quantum machine learning from few training data, IBM Research – Zurich, Quantum Seminar (online), invited by David Sutter (slides)

• Dec 15, 2021: Generalization in quantum machine learning - A biased status report, Universiteit Leiden, AQA QML Theory Workshop (online), invited by Vedran Dunjko

• Nov 11, 2021: Generalization in quantum machine learning from few training data, Quantum Techniques in Machine Learning 2021 (QTML 2021, online) (slides; video)

• Sep 20, 2021: Generalization in quantum machine learning from few training data, DPG Meeting of the Atomic, Molecular, Plasma Physics and Quantum Optics Section (SAMOP21, online), Fachverband Quanteninformation (slides)

• Sep 15, 2021: Encoding-dependent generalization bounds for parametrized quantum circuits, Universiteit Leiden, Applied Quantum Algorithms Group (online), invited by Vedran Dunjko (slides)

• Sep 04, 2021: Encoding-dependent generalization bounds for parametrized quantum circuits, AQIS 2021 (online), Contributed Long Talk (slides)

• Sep 02, 2021: Necessary Criteria for Markovian Divisibility of Linear Maps, University College London, UCL Quantum Information Seminar (online), invited by Emilio Onorati (slides)

• Aug 10, 2021: Generalization bounds for variational quantum machine learning, JKU Linz, Institute for Integrated Circuits, invited by Richard Küng

• July 23, 2021: Pseudo-dimension of quantum circuits, Hon Hai (Foxconn) Quantum Computing Centre (online), invited by Hao-Chung Cheng (slides; video)

• May 18, 2021: An invitation to matrix analysis and an application in quantum information, Augsburg University & Technical University of Munich (online), First TopMath Analysis Meetup

• Jan 09, 2020: The Markovianity Problem - Towards Characterizing Infinitesimal Divisibility, Technical University of Munich, Research seminar on open problems in quantum information theory, Chair for Mathematical Physics

• Mar 11, 2019: Classification with Quantum Labels, University of Pavia, Quantum Information Theory Group, invited by Alessandro Bisio

• Jan 17, 2019: Classification with Quantum Labels, University of Siegen, Theoretical Quantum Optics Group, invited by Gael Sentís

• Jan 08, 2018: Quantum Learning Theory, Technical University of Munich, TopMath Talk