Active learning machine learns to create new quantum experiments. - Alexey A. Melnikov 001; Hendrik Poulsen Nautrup; Mario Krenn; Vedran Dunjko; Markus Tiersch; Anton Zeilinger; Hans J. Briegel (CoRR, 2017)

Photonic architecture for reinforcement learning. - Fulvio Flamini; Arne Hamann 002; Sofiène Jerbi; Lea M. Trenkwalder; Hendrik Poulsen Nautrup; Hans J. Briegel (CoRR, 2019)

A framework for deep energy-based reinforcement learning with quantum speed-up. - Sofiène Jerbi; Hendrik Poulsen Nautrup; Lea M. Trenkwalder; Hans J. Briegel; Vedran Dunjko (CoRR, 2019)

Optimizing Quantum Error Correction Codes with Reinforcement Learning. - Hendrik Poulsen Nautrup; Nicolas Delfosse; Vedran Dunjko; Hans J. Briegel; Nicolai Friis (Quantum, 2019)

Subsystem symmetries, quantum cellular automata, and computational phases of quantum matter. - David T. Stephen; Hendrik Poulsen Nautrup; Juani Bermejo-Vega; Jens Eisert; Robert Raussendorf (Quantum, 2019)

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

Automated Gadget Discovery in Science. - Lea M. Trenkwalder; Andrea López-Incera; Hendrik Poulsen Nautrup; Fulvio Flamini; Hans J. Briegel (CoRR, 2022)

Operationally meaningful representations of physical systems in neural networks. - Hendrik Poulsen Nautrup; Tony Metger; Raban Iten; Sofiène Jerbi; Lea M. Trenkwalder; Henrik Wilming; Hans J. Briegel; Renato Renner (Mach. Learn. Sci. Technol., 2022)

Variational measurement-based quantum computation for generative modeling. - Arunava Majumder; Marius Krumm; Tina Radkohl; Hendrik Poulsen Nautrup; Sofiène Jerbi; Hans J. Briegel (CoRR, 2023)

Measurement-based quantum computation from Clifford quantum cellular automata. - Hendrik Poulsen Nautrup; Hans J. Briegel (CoRR, 2023)

Automated gadget discovery in the quantum domain. - Lea M. Trenkwalder; Andrea López-Incera; Hendrik Poulsen Nautrup; Fulvio Flamini; Hans J. Briegel (Mach. Learn. Sci. Technol., 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)

Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning. - Francesco Preti; Michael Schilling 004; Sofiène Jerbi; Lea M. Trenkwalder; Hendrik Poulsen Nautrup; Felix Motzoi; Hans J. Briegel (Quantum, 2024)

Quantum computing and artificial intelligence: status and perspectives. - Giovanni Acampora; Andris Ambainis; Natalia Ares; Leonardo Banchi; Pallavi Bhardwaj; Daniele Binosi; G. Andrew D. Briggs; Tommaso Calarco; Vedran Dunjko; Jens Eisert; Olivier Ezratty; Paul Erker; et al. (CoRR, 2025)

Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders. - Paulin de Schoulepnikoff; Gorka Muñoz-Gil; Hendrik Poulsen Nautrup; Hans J. Briegel (CoRR, 2025)