Author

Matthias C. Caro

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#machine learning Oct 2024

Interactive proofs for verifying (quantum) learning and testing

It is proved that a resource-constrained learner cannot gain any advantage through classical interaction with an untrusted prover, and it is shown that for the vast majority of testing and learning problems, a memory-constrained quantum algorithm cannot overcome its limitations via classical communication with a memory...

Matthias C. Caro, J. Eisert, M. Hinsche et al. · arXiv.org · 4 citations

Preprint Sep 2026

Sample-optimal learning of stabilizer states

It is well-known that learning a pure $n$-qubit stabilizer state $|\psi\rangle$ both requires, and can be accomplished with, access to a number of copies of $|\psi\rangle$ linear in $n$. However, the precise constant coefficient of this scaling does not appear to have been determined. Here we prove that $L_\delta(n)$,...

Rebecca Chang, Matthias C. Caro, Martín Larocca et al. · 4 citations