Quantum Policy Gradient Algorithm with Optimized Action Decoding. - Nico Meyer; Daniel D. Scherer; Axel Plinge; Christopher Mutschler; Michael J. Hartmann (ICML, 2023)

Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. - Nico Meyer; Daniel D. Scherer; Axel Plinge; Christopher Mutschler; Michael J. Hartmann (QCE, 2023)

Deep learning of many-body observables and quantum information scrambling. - Naeimeh Mohseni; Junheng Shi; Tim Byrnes; Michael J. Hartmann (Quantum, 2024)

Efficient Quantum Cooling Algorithm for Fermionic Systems. - Lucas Marti; Refik Mansuroglu; Michael J. Hartmann (Quantum, 2025)