Quantum Self-Supervised Learning. - Ben Jaderberg; Lewis W. Anderson; Weidi Xie; Samuel Albanie; Martin Kiffner; Dieter Jaksch (CoRR, 2021)

A quantum-inspired approach to exploit turbulence structures. - Nikita Gourianov; Michael Lubasch; Sergey Dolgov; Quincy Y. van den Berg; Hessam Babaee; Peyman Givi; Martin Kiffner; Dieter Jaksch (Nat. Comput. Sci., 2022)

Output Data of Tensor network reduced order models for wall-bounded flows. - Martin Kiffner (UHH-FDR, 2024)

Solving lattice gauge theories using the quantum Krylov algorithm and qubitization. - Lewis W. Anderson; Martin Kiffner; Tom O'Leary; Jason Crain; Dieter Jaksch (Quantum, 2025)

Partitioned Quantum Subspace Expansion. - Tom O'Leary; Lewis W. Anderson; Dieter Jaksch; Martin Kiffner (Quantum, 2025)

QCFD Project, Deliverable 7.1, Core flagship QCFD set - Burgers' equation on planqc's neutral atom quantum computing simulator. - Ayse Kotil; Giacomo Giudice; Martin Kiffner (UHH-FDR, 2025)