Welcome to the website of the Theory Division

The MPL Theory Division, led by Florian Marquardt, deals with both the quantum and classical dynamics of systems relevant for modern optics research, especially at the interface between nanophysics and quantum optics. Topics include the theory of optomechanics, neural networks and machine learning for physics, quantum optics in superconducting circuits, transport in photonic systems, fundamental questions of quantum many-body theory, nonequilibrium nonlinear dynamics, and decoherence. The group applies a variety of approaches, ranging from analytical studies to numerical simulations.




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

Initialisation of single spin dressed states using shortcuts to adiabaticity

Johannes Kölbl, Arne Barfuss, Mark Kasperczyk, Lucas Thiel, Aashish Clerk, Hugo Ribeiro, Patrick Maletinsky

arXiv 1901.10488 (2019) Preprint

Probing the Tavis-Cummings level splitting with intermediate-scale superconducting circuits

Ping Yang, Jan David Brehm, Juha Leppäkangas, Lingzhen Guo, Michael Marthaler, Isabella Boventer, Alexander Stehli, Tim Wolz, Alexey V. Ustinov, Martin Weides, et al.

arXiv 1810.00652 (2018) Preprint | PDF

Reinforcement Learning with Neural Networks for Quantum Feedback

Thomas Fösel, Petru Tighineanu, Talitha Weiss, Florian Marquardt

Physical Review X 8(3) (2018) | Journal | PDF

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