3 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
Diffractive neural networks for mode-sorting with flexible detection regions
Kaden Bearne, Alexander Duplinskiy, Matthew J. Filipovich +1
Mode-sorting is a procedure that decomposes a light field into a basis of transverse modes, directing each mode into a separate spatial location, allowing the constituent mode inte…
TorchOptics: An open-source Python library for differentiable Fourier optics simulations
Matthew J. Filipovich, A. I. Lvovsky
TorchOptics is an open-source Python library for differentiable Fourier optics simulations, developed using PyTorch to enable GPU-accelerated tensor computations and automatic diff…
Role of Spatial Coherence in Diffractive Optical Neural Networks
Matthew J. Filipovich, Aleksei Malyshev, A. I. Lvovsky
Diffractive optical neural networks (DONNs) have emerged as a promising optical hardware platform for ultra-fast and energy-efficient signal processing for machine learning tasks,…