Many-body quantum mechanics: too big to fail? - Michael L. Wall; Arghavan Safavi-Naini; Martin Gärttner (XRDS, 2016)

Spiking neuromorphic chip learns entangled quantum states. - Stefanie Czischek; Andreas Baumbach; Sebastian Billaudelle; Benjamin Cramer; Lukas Kades; Jan M. Pawlowski; Markus K. Oberthaler; Johannes Schemmel; Mihai A. Petrovici; Thomas Gasenzer; Martin Gärttner (CoRR, 2020)

Variational learning of quantum ground states on spiking neuromorphic hardware. - Robert Klassert; Andreas Baumbach; Mihai A. Petrovici; Martin Gärttner (CoRR, 2021)

Quantum many-body states: A novel neuromorphic application. - Andreas Baumbach; Robert Klassert; Stefanie Czischek; Martin Gärttner; Mihai A. Petrovici (NICE, 2022)

Variational Monte Carlo approach to partial differential equations with neural networks. - Moritz Reh; Martin Gärttner (Mach. Learn. Sci. Technol., 2022)

Quantum State Assignment Flows. - Jonathan Schwarz; Bastian Boll; Daniel Gonzalez-Alvarado; Dmitrij Sitenko; Martin Gärttner; Peter Albers; Christoph Schnörr (SSVM, 2023)

Quantum State Assignment Flows. - Jonathan Schwarz; Jonas Cassel; Bastian Boll; Martin Gärttner; Peter Albers; Christoph Schnörr (Entropy, 2023)

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)