Stochastic gradient descent for hybrid quantum-classical optimization. - Ryan Sweke; Frederik Wilde; Johannes Jakob Meyer; Maria Schuld; Paul K. Faehrmann; Barthélémy Meynard-Piganeau; Jens Eisert (Quantum, 2020)

Randomizing multi-product formulas for Hamiltonian simulation. - Paul K. Faehrmann; Mark Steudtner; Richard Kueng; Maria Kieferova; Jens Eisert (Quantum, 2022)

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)