Quantum error correction for the toric code using deep reinforcement learning. - Philip Andreasson; Joel Johansson; Simon Liljestrand; Mats Granath (Quantum, 2019)

Unsupervised interpretable learning of topological indices invariant under permutations of atomic bands. - Oleksandr Balabanov; Mats Granath (Mach. Learn. Sci. Technol., 2021)

The XYZ2 hexagonal stabilizer code. - Basudha Srivastava; Anton Frisk Kockum; Mats Granath (Quantum, 2022)

Systems engineering in the building construction industry: comparison with the telecom industry. - Linda Cusumano; Rasmus Rempling; Nilla Olsson; Robert Jockwer; Mats Granath (CENTERIS/ProjMAN/HCist, 2023)

Exact results on finite size corrections for surface codes tailored to biased noise. - Yinzi Xiao; Basudha Srivastava; Mats Granath (Quantum, 2024)

Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks. - Longde Huang; Oleksandr Balabanov; Hampus Linander; Mats Granath; Daniel Persson; Jan E. Gerken (CoRR, 2025)

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)