Improving the dynamics of quantum sensors with reinforcement learning. - Jonas Schuff; Lukas J. Fiderer; Daniel Braun 005 (CoRR, 2019)

Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation. - Lukas J. Fiderer; Jonas Schuff; Daniel Braun 005 (CoRR, 2020)

Witnessing Bell violations through probabilistic negativity. - Benjamin Morris 003; Lukas J. Fiderer; Ben Lang; Daniel Goldwater (CoRR, 2021)

Quantum machine learning beyond kernel methods. - Sofiène Jerbi; Lukas J. Fiderer; Hendrik Poulsen Nautrup; Jonas M. Kübler; Hans J. Briegel; Vedran Dunjko (CoRR, 2021)

Reinforcement learning and decision making via single-photon quantum walks. - Fulvio Flamini; Marius Krumm; Lukas J. Fiderer; Thomas Müller 007; Hans J. Briegel (CoRR, 2023)

Optimal foraging strategies can be learned and outperform Lévy walks. - Gorka Muñoz-Gil; Andrea López-Incera; Lukas J. Fiderer; Hans J. Briegel (CoRR, 2023)

The Min-Entropy of Classical-Quantum Combs for Measurement-Based Applications. - Isaac D. Smith; Marius Krumm; Lukas J. Fiderer; Hendrik Poulsen Nautrup; Hans J. Briegel (Quantum, 2023)

Free Energy Projective Simulation (FEPS): Active inference with interpretability. - Joséphine Pazem; Marius Krumm; Alexander Q. Vining; Lukas J. Fiderer; Hans J. Briegel (CoRR, 2024)

The Work Capacity of Channels with Memory: Maximum Extractable Work in Percept-Action Loops. - Lukas J. Fiderer; Paul C. Barth; Isaac D. Smith; Hans J. Briegel (CoRR, 2025)