Speeding-up the decision making of a learning agent using an ion trap quantum processor. - Theeraphot Sriarunothai; Sabine Wölk; Gouri Shankar Giri; Nicolai Friis; Vedran Dunjko; Hans J. Briegel; Christof Wunderlich (CoRR, 2017)

Experimental quantum speed-up in reinforcement learning agents. - Valeria Saggio; Beate E. Asenbeck; Arne Hamann 002; Teodor Strömberg; Peter Schiansky; Vedran Dunjko; Nicolai Friis; Nicholas C. Harris; Michael Hochberg; Dirk R. Englund; Sabine Wölk; Hans J. Briegel; et al. (Nat., 2021)

Quantum-accessible reinforcement learning beyond strictly epochal environments. - Arne Hamann 002; Vedran Dunjko; Sabine Wölk (Quantum Mach. Intell., 2021)

Leveraging quantum computing for dynamic analyses of logical networks in systems biology. - Felix M. Weidner; Julian D. Schwab; Sabine Wölk; Felix Rupprecht; Nensi Ikonomi; Silke D. Werle; Steve Hoffmann; Michael Kühl; Hans A. Kestler (Patterns, 2023)

A hybrid learning agent for episodic learning tasks with unknown target distance. - Oliver Sefrin; Sabine Wölk (Quantum Mach. Intell., 2025)