Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data. - Cole Miles; Annabelle Bohrdt; Ruihan Wu; Christie Chiu; Muqing Xu; Geoffrey Ji; Markus Greiner; Kilian Q. Weinberger; Eugene Demler; Eun-Ah Kim (CoRR, 2020)

Robust quantum many-body scars in lattice gauge theories. - Jad C. Halimeh; Luca Barbiero; Philipp Hauke; Fabian Grusdt; Annabelle Bohrdt (Quantum, 2023)

Adaptive Quantum State Tomography with Active Learning. - Hannah Lange; Matjaz Kebric; Maximilian Buser; Ulrich Schollwöck; Fabian Grusdt; Annabelle Bohrdt (Quantum, 2023)

Bayesian Optimization for Robust State Preparation in Quantum Many-Body Systems. - Tizian Blatz; Joyce Kwan; Julian Léonard; Annabelle Bohrdt (Quantum, 2024)

Interpretable correlator Transformer for image-like quantum matter data. - Abhinav Suresh; Henning Schlömer; Baran Hashemi; Annabelle Bohrdt (Mach. Learn. Sci. Technol., 2025)

Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems. - Hannah Lange; Guillaume Bornet; Gabriel Emperauger; Cheng Chen; Thierry Lahaye; Stefan Kienle; Antoine Browaeys; Annabelle Bohrdt (Quantum, 2025)