Florian Marquardt

Friedrich-Alexander-Universität Erlangen-Nürnberg — Germany

Physics and Astronomy · Physical Sciences

58h-index21.2kcitations324works4.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Mechanical and Optical Resonators(125), Quantum Information and Cryptography(73), Photonic and Optical Devices(67), Quantum and electron transport phenomena(51), Quantum Computing Algorithms and Architecture(49)

Publications324 total

Reusability Report: Optimizing T-count in General Quantum Circuits with AlphaTensor-Quantum
arXiv (Cornell University)·2025Open Access
Quantum Circuit Discovery for Fault-Tolerant Logical State Preparation with Reinforcement Learning
Physical Review X·2025· 1 citedOpen Access
Training of physical neural networks
Nature·2025· 21 citedOpen Access
Quantum equilibrium propagation for efficient training of quantum systems based on Onsager reciprocity
Nature Communications·2025· 2 citedOpen Access
Machine Learning in Quantum Sciences
Cambridge University Press eBooks·2025· 2 cited
Automated Discovery of Coupled-Mode Setups
Physical Review X·2025· 1 citedOpen Access
Discovering Local Hidden-Variable Models for Arbitrary Multipartite Entangled States and Arbitrary Measurements
PRX Quantum·2025· 2 citedOpen Access
Fully non-linear neuromorphic computing with linear wave scattering
2025· 3 cited
Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets
arXiv (Cornell University)·2025Open Access
Meta-learning characteristics and dynamics of quantum systems
arXiv (Cornell University)·2025Open Access
Transfer learning in predicting quantum many-body dynamics: from physical observables to entanglement entropy
Quantum Science and Technology·2025· 1 citedOpen Access
<i>d</i>CG—differentiable connected geometries for AI-compatible multi-domain optimization and inverse design
Machine Learning Science and Technology·2025Open Access
Preparing Schrödinger Cat States in a Microwave Cavity Using a Neural Network
PRX Quantum·2025· 6 citedOpen Access
Non-Markovian Feedback for Optimized Quantum Error Correction
Physical Review Letters·2025· 8 citedOpen Access
Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs
2025Open Access
Fast Quantum Control of Cavities Using an Improved Protocol without Coherent Errors
Physical Review Letters·2024· 5 citedOpen Access
Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology
Quantum·2024· 4 citedOpen Access
Simultaneous discovery of quantum error correction codes and encoders with a noise-aware reinforcement learning agent
npj Quantum Information·2024· 12 citedOpen Access
Quantum feedback control with a transformer neural network architecture
arXiv (Cornell University)·2024Open Access
Pioniere des KI‐Booms
Physik in unserer Zeit·2024Open Access
page 1 of 17Next →

Frequent Co-authors

Aashish A. Clerk(13), Andreas Kronwald(7), Oskar Painter(7), Max Ludwig(7), Vittorio Peano(6), S. M. Girvin(5), Klemens Hammerer(5), Jan von Delft(4), Jack Harris(3), Hong X. Tang(3), Jiang Qian(3), Christian Brendel(3), Emma E. Wollman(2), Chan U Lei(2), Junho Suh(2), Keith Schwab(2), Amir H. Safavi‐Naeini(2), Clemens Neuenhahn(2), M. Wallquist(2), Claudiu Genes(2)