4 citations · 5 across the 3 of their papers we have counts for
3 papers
quant-ph2024★ 1 cited
Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity
Clara C. Wanjura, Florian Marquardt
The widespread adoption of machine learning and artificial intelligence in all branches of science and technology has created a need for energy-efficient, alternative hardware plat…
physics.app-ph2024★ 4 cited
Training of Physical Neural Networks
Ali Momeni, Babak Rahmani, Benjamin Scellier +25
Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research…
physics.optics2023
Fully Non-Linear Neuromorphic Computing with Linear Wave Scattering
Clara C. Wanjura, Florian Marquardt
The increasing complexity of neural networks and the energy consumption associated with training and inference create a need for alternative neuromorphic approaches, e.g. using opt…