Welcome to the Theory Division at the Max Planck Institute for the Science of Light


Florian Marquardt
(Scientific Director)

Nanophysics and Quantum Optics
Machine Learning for Physics

Flore Kunst
(Independent Research
Group Leader)

Non-Hermitian Topology

Mario Krenn
(Independent Research
Group Leader)

Artificial Scientist Lab

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We are part of the following research networks:



For all general inquiries, please contact us at:

Marquardt Division
Max Planck Institute for the Science of Light
Staudtstr. 2
D-91058 Erlangen, Germany


Tel: +49-9131-7133-401
Fax: +49-9131-7133-409

The Max Planck Institute is located right next to the Science Campus of the Friedrich-Alexander-University Erlangen-Nuremberg, on its northern edge. See the information page on how to find us.

In our research, we apply tools from condensed matter theory and from quantum optics to a range of questions at the interface of nanophysics and quantum optics, addressing both quantum and classical dynamics. In our approach, we often try to identify the salient features of experimentally relevant situations and condense them into minimalist models which can then be attacked with all the state-of-the-art theoretical tools. At the same time, we also care about the direct contact with experiments, down to designing the classical electromagnetic and acoustic properties of specific structures.


Get all Research Information

Cavity Optomechanics meet Topological Phononics

Creating the laser hammer and winning the Nobel Prize: Donna Strickland visits MPL

Max Planck Sabbatical Award for Amir Safavi-Naeini

Neural-network-based prediction of band structures

Artificial intelligence to accelerate the design of nanostructures

Florian Marquardt in the podcast of "Welt der Physik"

Deep learning of spatial densities in inhomogeneous correlated quantum systems

Alex Blania, Sandro Herbig, Fabian Dechent, Evert van Nieuwenburg, Florian Marquardt

arXiv 2211.09050 (2022) Preprint | PDF

Complex decoherence-free interactions between giant atoms

Lei Du, Lingzhen Guo, Yong Li

arXiv 2211.00280 (2022) Preprint | PDF

Realizing a deep reinforcement learning agent discovering real-time feedback control strategies for a quantum system

Kevin Reuer, Jonas Landgraf, Thomas Fösel, James O'Sullivan, Liberto Beltrán, Abdulkadir Akin, Graham J. Norris, Ants Remm, Michael Kerschbaum, et al.

arXiv 2210.16715 (2022) Preprint | PDF

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