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ORCIDFlorian Marquardt
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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- Florian Marquardt 0001
![[0000-0003-4566-1753]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4566-1753")
— Max Planck Institute for the Science of Light, Erlangen, Germany - Florian Marquardt 0002 — University of Applied Sciences / Technische Hochschule Brandenburg, Brandenburg an der Havel, Germany
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2020 – today
- 2025
[i8]Lucas Schorling, Pranav Vaidhyanathan, Jonas Schuff, Miguel J. Carballido, Dominik M. Zumbühl, Gerard Milburn, Florian Marquardt, Jakob N. Foerster, Michael A. Osborne, Natalia Ares:
Meta-learning characteristics and dynamics of quantum systems. CoRR abs/2503.10492 (2025)- [i7]Giovanni Acampora, Andris Ambainis, Natalia Ares, Leonardo Banchi, Pallavi Bhardwaj, Daniele Binosi, G. Andrew D. Briggs, Tommaso Calarco, Vedran Dunjko, Jens Eisert, Olivier Ezratty, Paul Erker, Federico Fedele, Elies Gil-Fuster, Martin Gärttner, Mats Granath, Markus Heyl, Iordanis Kerenidis, Matthias Klusch, Anton Frisk Kockum, Richard Kueng, Mario Krenn, Jörg Lässig, Antonio Macaluso, Sabrina Maniscalco, Florian Marquardt, Kristel Michielsen, Gorka Muñoz-Gil, Daniel Müssig, Hendrik Poulsen Nautrup, Evert P. L. van Nieuwenburg, Roman Orus, Jörg Schmiedmayer, Markus Schmitt, Philipp Slusallek, Filippo Vicentini, Christof Weitenberg, Frank K. Wilhelm:
Quantum computing and artificial intelligence: status and perspectives. CoRR abs/2505.23860 (2025) - 2024
- [j2]Federico Belliardo, Fabio Zoratti, Florian Marquardt, Vittorio Giovannetti:
Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology. Quantum 8: 1555 (2024) - [i6]Maximilian Nägele, Jan Olle, Thomas Fösel, Remmy Zen, Florian Marquardt:
Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning. CoRR abs/2405.13609 (2024) - [i5]Pranav Vaidhyanathan, Florian Marquardt, Mark T. Mitchison, Natalia Ares:
Quantum feedback control with a transformer neural network architecture. CoRR abs/2411.19253 (2024) - 2023
- [i4]Leopoldo Sarra, Florian Marquardt:
Deep Bayesian Experimental Design for Quantum Many-Body Systems. CoRR abs/2306.14510 (2023) - [i3]Maximilian Nägele, Florian Marquardt:
Optimizing ZX-Diagrams with Deep Reinforcement Learning. CoRR abs/2311.18588 (2023) - 2022
- [j1]Naeimeh Mohseni, Thomas Fösel, Lingzhen Guo, Carlos Navarrete-Benlloch, Florian Marquardt:
Deep Learning of Quantum Many-Body Dynamics via Random Driving. Quantum 6: 714 (2022) - [i2]Mario Krenn, Jonas Landgraf, Thomas Foesel, Florian Marquardt:
Artificial Intelligence and Machine Learning for Quantum Technologies. CoRR abs/2208.03836 (2022) - 2020
- [i1]Leopoldo Sarra, Andrea Aiello, Florian Marquardt:
Renormalized Mutual Information for Extraction of Continuous Features. CoRR abs/2005.01912 (2020)
2000 – 2009
- 2009
- [c1]Max Ludwig, Georg Heinrich, Florian Marquardt:
Examples of Quantum Dynamics in Optomechanical Systems. QuantumComm 2009: 167-179
Coauthor Index
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