Optical neural networks: progress and challenges

T Fu, J Zhang, R Sun, Y Huang, W Xu, S Yang… - Light: Science & …, 2024 - nature.com
Artificial intelligence has prevailed in all trades and professions due to the assistance of big
data resources, advanced algorithms, and high-performance electronic hardware. However …

Artificial neural networks for photonic applications—from algorithms to implementation: tutorial

P Freire, E Manuylovich, JE Prilepsky… - Advances in Optics and …, 2023 - opg.optica.org
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

Fully forward mode training for optical neural networks

Z Xue, T Zhou, Z Xu, S Yu, Q Dai, L Fang - Nature, 2024 - nature.com
Optical computing promises to improve the speed and energy efficiency of machine learning
applications,,,,–. However, current approaches to efficiently train these models are limited by …

Partial coherence enhances parallelized photonic computing

B Dong, F Brückerhoff-Plückelmann, L Meyer, J Dijkstra… - Nature, 2024 - nature.com
Advancements in optical coherence control,,,–have unlocked many cutting-edge
applications, including long-haul communication, light detection and ranging (LiDAR) and …

Direct electromagnetic information processing with planar diffractive neural network

Z Gu, Q Ma, X Gao, JW You, TJ Cui - Science Advances, 2024 - science.org
Diffractive neural network in electromagnetic wave–driven system has attracted great
attention due to its ultrahigh parallel computing capability and energy efficiency. However …

Determining the optimal communication channels of arbitrary optical systems using integrated photonic processors

SM SeyedinNavadeh, M Milanizadeh, F Zanetto… - Nature …, 2024 - nature.com
Modes of propagation through an optical system are generally defined as the eigensolutions
of the wave equation in the system. When propagation occurs through complicated or highly …

Single chip photonic deep neural network with accelerated training

S Bandyopadhyay, A Sludds, S Krastanov… - ar** and reprogramming capabilities
promise revolutionary impacts on a plethora of photonic technologies. We report direct-write …