Projects
Projects as Head
Publications
2024
Bayesian optimization for state engineering of quantum gases
arXiv, p. arXiv:2404.18234, 2024
Gabriel Müller, V. J. Martínez-Lahuerta, Ivan Sekuliĉ, Sven Burger, Philipp-Immanuel Schneider, Naceur Gaaloul
BibTeX
arXiv
Sekulic, Dr. Ivan
arXiv
Machine-learning driven design of metasurfaces: learn the physics and not the objective function
Proc. SPIE, Vol.PC13017, p. PC130170X, 2024
Ivan Sekuliĉ, Philipp-Immanuel Schneider, Martin Hammerschmidt, Sven Burger
BibTeX
DOI
Sekulic, Dr. Ivan
DOI
Review and experimental benchmarking of machine learning algorithms for efficient optimization of cold atom experiments
Mach. Learn. Sci. Technol., Vol.5, p. 025022, 2024
Oliver Anton, Victoria A. Henderson, Elisa Da Ros, Ivan Sekuliĉ, Sven Burger, Philipp-Immanuel Schneider, Markus Krutzik
BibTeX
DOI
arXiv
Sekulic, Dr. Ivan
DOI
arXiv
2023
Efficient machine-learning approach to optimize trapped cold atom ensembles for quantum memory applications
Proc. SPIE, p. 127400F, Vol.12740, 2023
Ivan Sekuliĉ, Philipp-Immanuel Schneider, Oliver Anton, Elisa Da Ros, Victoria Henderson, Markus Krutzik
BibTeX
DOI
Sekulic, Dr. Ivan
DOI
2022
Boosting quantum optics experiments with Bayesian optimization
Proc. SPIE, p. 122270F, Vol.12227, 2022
Philipp-Immanuel Schneider, Lin Zschiedrich, Martin Hammerschmidt, Lilli Kuen, Ivan Sekuliĉ, Julien Kluge, Bastian Leykauf, Markus Krutzik, Sven Burger
BibTeX
DOI
Sekulic, Dr. Ivan
DOI