Florian Marquardt

According to our database, Florian Marquardt authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Training of physical neural networks.

Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz, Francesco Morichetti, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury

Nat., September, 2025

Agentic Exploration of Physics Models.

Maximilian Nägele, Florian Marquardt

CoRR, September, 2025

Training nonlinear optical neural networks with Scattering Backpropagation.

Nicola Dal Cin, Florian Marquardt, Clara C. Wanjura

CoRR, August, 2025

<i>d</i>CG - differentiable connected geometries for AI-compatible multi-domain optimization and inverse design.

Alexander Luce, Daniel Grünbaum, Florian Marquardt

Mach. Learn. Sci. Technol., 2025

2024

Training coupled phase oscillators as a neuromorphic platform using equilibrium propagation.

Qingshan Wang, Clara C. Wanjura, Florian Marquardt

Neuromorph. Comput. Eng., 2024

Optimizing ZX-diagrams with deep reinforcement learning.

Maximilian Nägele, Florian Marquardt

Mach. Learn. Sci. Technol., 2024

Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity.

Clara C. Wanjura, Florian Marquardt

CoRR, 2024

2023

Deep Bayesian experimental design for quantum many-body systems.

Leopoldo Sarra, Florian Marquardt

Mach. Learn. Sci. Technol., December, 2023

Deep recurrent networks predicting the gap evolution in adiabatic quantum computing.

Naeimeh Mohseni, Carlos Navarrete-Benlloch, Tim Byrnes, Florian Marquardt

Quantum, June, 2023

Investigation of inverse design of multilayer thin-films with conditional invertible neural networks.

Alexander Luce, Ali Mahdavi, Heribert Wankerl, Florian Marquardt

Mach. Learn. Sci. Technol., March, 2023

Fully Non-Linear Neuromorphic Computing with Linear Wave Scattering.

Clara C. Wanjura, Florian Marquardt

CoRR, 2023

2022

Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements.

Riccardo Porotti, Antoine Essig, Benjamin Huard, Florian Marquardt

Quantum, 2022

2021

TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film Optimization.

Alexander Luce, Ali Mahdavi, Florian Marquardt, Heribert Wankerl

CoRR, 2021

Self-learning Machines based on Hamiltonian Echo Backpropagation.

Victor Lopez-Pastor, Florian Marquardt

CoRR, 2021