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Q: Fachverband Quantenoptik und Photonik
Q 48: QuanTour IV – Building Blocks
Q 48.4: Vortrag
Donnerstag, 5. März 2026, 12:00–12:15, P 7
Universal super-resolution framework for imaging of quantum dots — Dominik Vašinka1, Jaewon Lee2, •Charlie Stalker2, Victor Mitryakhin3, Ivan Solovev3, Sven Stephan3,4, Sven Höfling5, Falk Eilenberger6,7,8, Seth Ariel Tongay9, Christian Schneider3, Miroslav Ježek1, and Ana Predojević2 — 1Department of Optics, Faculty of Science, Palacký University, 17. listopadu 12, 77900 Olomouc, Czechia — 2Department of Physics, Stockholm University, 10691 Stockholm, Sweden — 3Institut of Physics, University of Oldenburg, D-26129 Oldenburg, Germany — 4University of Applied Sciences Emden/Leer, 26723 Emden, Germany — 5Technische Physik, Physikalisches Institut and Würzburg-Dresden Cluster of Excellence ct.qmat, Universität Würzburg, Am Hubland, D-97074 Würzburg, Germany — 6Institute of Applied Physics, Abbe Center of Photonics, Friedrich Schiller University Jena, 07743 Jena, Germany — 7Fraunhofer-Institute for Applied Optics and Precision Engineering IOF, 07743 Jena, Germany — 8Max-Planck-School of Photonics, 07743 Jena, Germany — 9Materials Science and Engineering, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, Arizona 85287, United States
We present a universal deep-learning method that reconstructs super-resolved images of quantum emitters from a single camera frame measurement. This method was then validated experimentally on various quantum dot samples and allows for rapid super-resolution for quantum photonic device fabrication.
Keywords: Quantum Dots; Imaging; Super-Resolution