Diffractive optical computing in free space
Structured optical materials create new computing paradigms using photons, with
transformative impact on various fields, including machine learning, computer vision …
transformative impact on various fields, including machine learning, computer vision …
Analog photonics computing for information processing, inference, and optimization
N Stroev, NG Berloff - Advanced Quantum Technologies, 2023 - Wiley Online Library
This review presents an overview of the current state‐of‐the‐art in photonics computing,
which leverages photons, photons coupled with matter, and optics‐related technologies for …
which leverages photons, photons coupled with matter, and optics‐related technologies for …
Hardware-algorithm collaborative computing with photonic spiking neuron chip based on an integrated Fabry–Perot laser with a saturable absorber
Photonic neuromorphic computing has emerged as a promising approach to building a low-
latency and energy-efficient non-von Neuman computing system. A photonic spiking neural …
latency and energy-efficient non-von Neuman computing system. A photonic spiking neural …
A fusion of neural, genetic and ensemble machine learning approaches for enhancing the engineering predictive capabilities of lightweight foamed reinforced …
This research explores lightweight foamed reinforced concrete beams, crucial in modern
construction for their strength and reduced weight. It introduces a novel approach …
construction for their strength and reduced weight. It introduces a novel approach …
Experimental demonstration of coherent photonic neural computing based on a Fabry–Perot laser with a saturable absorber
D Zheng, S Xiang, X Guo, Y Zhang, B Gu… - Photonics …, 2023 - opg.optica.org
As Moore's law has reached its limits, it is becoming increasingly difficult for traditional
computing architectures to meet the demands of continued growth in computing power …
computing architectures to meet the demands of continued growth in computing power …
Scalable nanophotonic-electronic spiking neural networks
Spiking neural networks (SNN) provide a new computational paradigm capable of highly
parallelized, real-time processing. Photonic devices are ideal for the design of high …
parallelized, real-time processing. Photonic devices are ideal for the design of high …
Demonstration of programmable brain-inspired optoelectronic neuron in photonic spiking neural network with neural heterogeneity
Photonic Spiking Neural Networks (PSNN) composed of the co-integrated CMOS and
photonic elements can offer low loss, low power, highly-parallel, and high-throughput …
photonic elements can offer low loss, low power, highly-parallel, and high-throughput …
Brain-inspired nanophotonic spike computing: challenges and prospects
Nanophotonic spiking neural networks (SNNs) based on neuron-like excitable
subwavelength (submicrometre) devices are of key importance for realizing brain-inspired …
subwavelength (submicrometre) devices are of key importance for realizing brain-inspired …
Advances in machine learning optimization for classical and quantum photonics
M Sanchez, C Everly, PA Postigo - JOSA B, 2024 - opg.optica.org
The development and optimization of photonic devices and various other nanostructure
electromagnetic devices present a computationally intensive task. Much optimization relies …
electromagnetic devices present a computationally intensive task. Much optimization relies …
Receptive Field-Based All-Optical Spiking Neural Network for Image Processing
We report on a novel structure of a receptive field (RF)-based multi-layer all-optical neural
network using a micropillar laser with a saturable absorber (SA) for image processing. From …
network using a micropillar laser with a saturable absorber (SA) for image processing. From …