Florian Marquardt

12 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reinforcement Learning for Quantum Technology. CoRR Marin Bukov, Florian Marquardt
2025	J	`jnl`	Meta-learning characteristics and dynamics of quantum systems. CoRR Lucas Schorling, Pranav Vaidhyanathan, Jonas Schuff, Miguel J. Carballido, Dominik M. Zumbühl, Gerard Milburn, Florian Marquardt, Jakob N. Foerster, Michael A. Osborne, Natalia Ares
2025	J	`jnl`	Quantum computing and artificial intelligence: status and perspectives. CoRR 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
2024	J	`jnl`	Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology. Quantum Federico Belliardo, Fabio Zoratti, Florian Marquardt, Vittorio Giovannetti
2024	J	`jnl`	Quantum feedback control with a transformer neural network architecture. CoRR Pranav Vaidhyanathan, Florian Marquardt, Mark T. Mitchison, Natalia Ares
2024	J	`jnl`	Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning. CoRR Maximilian Nägele, Jan Olle, Thomas Fösel, Remmy Zen, Florian Marquardt
2023	J	`jnl`	Deep Bayesian Experimental Design for Quantum Many-Body Systems. CoRR Leopoldo Sarra, Florian Marquardt
2023	J	`jnl`	Optimizing ZX-Diagrams with Deep Reinforcement Learning. CoRR Maximilian Nägele, Florian Marquardt
2022	J	`jnl`	Artificial Intelligence and Machine Learning for Quantum Technologies. CoRR Mario Krenn, Jonas Landgraf, Thomas Foesel, Florian Marquardt
2022	J	`jnl`	Deep Learning of Quantum Many-Body Dynamics via Random Driving. Quantum Naeimeh Mohseni, Thomas Fösel, Lingzhen Guo, Carlos Navarrete-Benlloch, Florian Marquardt
2020	J	`jnl`	Renormalized Mutual Information for Extraction of Continuous Features. CoRR Leopoldo Sarra, Andrea Aiello, Florian Marquardt
2009	—	`conf`	Examples of Quantum Dynamics in Optomechanical Systems. QuantumComm Max Ludwig, Georg Heinrich, Florian Marquardt