Efficient variational contraction of two-dimensional tensor networks with a non-trivial unit cell. - Alexander Nietner; Bram Vanhecke; Frank Verstraete; Jens Eisert; Laurens Vanderstraeten (Quantum, 2020)

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)

Free Fermion Distributions Are Hard to Learn. - Alexander Nietner (CoRR, 2023)

Unifying (Quantum) Statistical and Parametrized (Quantum) Algorithms. - Alexander Nietner (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)