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Lattice meets lattice: Application of lattice cubature to models in lattice gauge theory., , , , , and . J. Comput. Phys., (2021)Best-approximation error for parametric quantum circuits., , , , , and . ICWS, page 693-702. IEEE, (2021)Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse., , , , , , , and . CoRR, (2021)Dimensional Expressivity Analysis of Parametric Quantum Circuits., , , , and . Quantum, (2021)Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment., , , , , , , , , and 1 other author(s). Comput. Softw. Big Sci., 7 (1): 14 (December 2023)Lattice meets lattice: Application of lattice cubature to models in lattice gauge theory., , , , , and . CoRR, (2020)Determining the ability for universal quantum computing: Testing controllability via dimensional expressivity., , , , and . Quantum, (December 2023)On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models., , , , , , , and . CoRR, (2020)Classical splitting of parametrized quantum circuits., , , , , and . Quantum Mach. Intell., 5 (2): 1-19 (December 2023)Studying quantum algorithms for particle track reconstruction in the LUXE experiment, , , , , , , , , and . (2022)cite arxiv:2202.06874Comment: 6 pages, 6 figures, Proceedings of the 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021).