Quantum learning Boolean linear functions w.r.t. product distributions. - Matthias C. Caro (Quantum Inf. Process., 2020)

Pseudo-dimension of quantum circuits. - Matthias C. Caro; Ishaun Datta (Quantum Mach. Intell., 2020)

Undecidability of Learnability. - Matthias C. Caro (CoRR, 2021)

Generalization in quantum machine learning from few training data. - Matthias C. Caro; Hsin-Yuan Huang; Marco Cerezo; Kunal Sharma; Andrew T. Sornborger; Lukasz Cincio; Patrick J. Coles (CoRR, 2021)

Binary classification with classical instances and quantum labels. - Matthias C. Caro (Quantum Mach. Intell., 2021)

Encoding-dependent generalization bounds for parametrized quantum circuits. - Matthias C. Caro; Elies Gil-Fuster; Johannes Jakob Meyer; Jens Eisert; Ryan Sweke (Quantum, 2021)

Out-of-distribution generalization for learning quantum dynamics. - Matthias C. Caro; Hsin-Yuan Huang; Nicholas Ezzell; Joe Gibbs; Andrew T. Sornborger; Lukasz Cincio; Patrick J. Coles; Zoë Holmes (CoRR, 2022)

Dynamical simulation via quantum machine learning with provable generalization. - Joe Gibbs; Zoë Holmes; Matthias C. Caro; Nicholas Ezzell; Hsin-Yuan Huang; Lukasz Cincio; Andrew T. Sornborger; Patrick J. Coles (CoRR, 2022)

Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix. - Matthias C. Caro (CoRR, 2022)

Quantum Learning Theory. - Matthias C. Caro (2022)

The power and limitations of learning quantum dynamics incoherently. - Sofiène Jerbi; Joe Gibbs; Manuel S. Rudolph; Matthias C. Caro; Patrick J. Coles; Hsin-Yuan Huang; Zoë Holmes (CoRR, 2023)

Learning quantum states and unitaries of bounded gate complexity. - Haimeng Zhao; Laura Lewis; Ishaan Kannan; Yihui Quek; Hsin-Yuan Huang; Matthias C. Caro (CoRR, 2023)

On the Generators of Quantum Dynamical Semigroups with Invariant Subalgebras. - Markus Hasenöhrl; Matthias C. Caro (Open Syst. Inf. Dyn., 2023)

From undecidability of non-triviality and finiteness to undecidability of learnability. - Matthias C. Caro (Int. J. Approx. Reason., 2023)

Information-theoretic generalization bounds for learning from quantum data. - Matthias C. Caro; Tom Gur; Cambyse Rouzé; Daniel Stilck França; Sathyawageeswar Subramanian (COLT, 2024)

Classical Verification of Quantum Learning. - Matthias C. Caro; Marcel Hinsche; Marios Ioannou; Alexander Nietner; Ryan Sweke (ITCS, 2024)

Hamiltonian Property Testing. - Andreas Bluhm; Matthias C. Caro; Aadil Oufkir (CoRR, 2024)

Online learning of quantum processes. - Asad Raza; Matthias C. Caro; Jens Eisert; Sumeet Khatri (CoRR, 2024)

Interactive proofs for verifying (quantum) learning and testing. - Matthias C. Caro; Jens Eisert; Marcel Hinsche; Marios Ioannou; Alexander Nietner; Ryan Sweke (CoRR, 2024)

Testing classical properties from quantum data. - Matthias C. Caro; Preksha Naik; Joseph Slote (CoRR, 2024)