Freiburg 2024 – scientific programme

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Q: Fachverband Quantenoptik und Photonik

Q 56: Poster VII

Q 56.15: Poster

Thursday, March 14, 2024, 17:00–19:00, KG I Foyer

Artificial Intelligence for Quantum Sensing — •Victor Jose Martinez Lahuerta, Jan-Niclas Kirsten-Siemß, and Naceur Gaaloul — Leibniz University Hannover, Institut of Quantum Optics, Welfengarten 1, 30167 Hannover, Germany

Algorithms from the field of artificial intelligence (AI) and machine learning have been employed in recent years for a variety of applications to efficiently solve multidimensional problems. In physics, these algorithms are applied with increasing success, for example, to solve the Schrödinger equation for many-body problems, or used experimentally to generate ultracold atoms and control lasers. In this project we aim to work on three fundamental pillars of AI in atom interferometry: theory modeling, measurement data extraction, and operation of experiments. Within this context, I will show our results modeling a diffraction phase-free Bragg atom interferometry.

Acknowledgements: This project is funded by the German Space Agency (DLR) with funds provided by the German Federal Ministry of Economic Affairs and Energy (German Federal Ministry of Education and Research (BMBF)) due to an enactment of the German Bundestag under Grant No. DLR 50WM2253A

Keywords: Bragg Atom interferometry; Diffraction phase free