Learnability of the output distributions of local quantum circuits. - Marcel Hinsche; Marios Ioannou; Alexander Nietner; Jonas Haferkamp; Yihui Quek; Dominik Hangleiter; Jean-Pierre Seifert; Jens Eisert; Ryan Sweke (CoRR, 2021)

A single T-gate makes distribution learning hard. - Marcel Hinsche; Marios Ioannou; Alexander Nietner; Jonas Haferkamp; Yihui Quek; Dominik Hangleiter; Jean-Pierre Seifert; Jens Eisert; Ryan Sweke (CoRR, 2022)

On the average-case complexity of learning output distributions of quantum circuits. - Alexander Nietner; Marios Ioannou; Ryan Sweke; Richard Kueng; Jens Eisert; Marcel Hinsche; Jonas Haferkamp (CoRR, 2023)

Verifiable measurement-based quantum random sampling with trapped ions. - Martin Ringbauer; Marcel Hinsche; Thomas Feldker; Paul K. Faehrmann; Juani Bermejo-Vega; Claire Edmunds; Lukas Postler; Roman Stricker; Christian D. Marciniak; Michael Meth; Ivan Pogorelov; Rainer Blatt; et al. (CoRR, 2023)

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

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

Single-Copy Stabilizer Testing. - Marcel Hinsche; Jonas Helsen (STOC, 2025)