A survey of approaches for implementing optical neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Optics and Laser Technology"
DOI: 10.1016/j.optlastec.2020.106787
Abstract: Abstract Conventional neural networks are software simulations of artificial neural networks (ANNs) implemented on von Neumann machines. This technology has recently encountered bottlenecks in terms of computing speed and energy consumption, leading to increased research… read more here.
Keywords: approaches implementing; neural networks; implementing optical; optical neural ... See more keywords
Ultrasensitive, Ultrafast, and Gate-Tunable Two-Dimensional Photodetectors in Ternary Rhombohedral ZnIn2S4 for Optical Neural Networks.
Sign Up to like & getrecommendations! Published in 2022 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.2c00063
Abstract: The demand for high-performance semiconductors in electronics and optoelectronics has prompted the expansion of low-dimensional materials research to ternary compounds. However, photodetectors based on 2D ternary materials usually suffer from large dark currents and slow… read more here.
Keywords: neural networks; optical neural; rhombohedral znin2s4; performance ... See more keywords
An optical neural chip for implementing complex-valued neural network
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-020-20719-7
Abstract: Complex-valued neural networks have many advantages over their real-valued counterparts. Conventional digital electronic computing platforms are incapable of executing truly complex-valued representations and operations. In contrast, optical computing platforms that encode information in both phase… read more here.
Keywords: valued neural; neural networks; neural chip; complex valued ... See more keywords
Digital-analog hybrid matrix multiplication processor for optical neural networks
Sign Up to like & getrecommendations! Published in 2024 at "Nature Communications"
DOI: 10.1038/s41467-025-62586-0
Abstract: Optical neural networks (ONNs) promise computing efficiency beyond microelectronics for modern artificial intelligence (AI). Current ONNs using analog matrix-vector multiplication (MVM) implementations are fundamentally limited in numerical precision due to accumulated noise in electro-optical processing.… read more here.
Keywords: optical neural; analog hybrid; digital analog; processor ... See more keywords
Coherent Ising machines—optical neural networks operating at the quantum limit
Sign Up to like & getrecommendations! Published in 2017 at "npj Quantum Information"
DOI: 10.1038/s41534-017-0048-9
Abstract: In this article, we will introduce the basic concept and the quantum feature of a novel computing system, coherent Ising machines, and describe their theoretical and experimental performance. We start with the discussion how to… read more here.
Keywords: quantum; neural networks; ising machines; coherent ising ... See more keywords
High Q-factor ring resonator nested in Mach–Zehnder interferometer based on Ge2Sb2Te5 phase change material for realization of synapses in optical neural networks
Sign Up to like & getrecommendations! Published in 2025 at "Physica Scripta"
DOI: 10.1088/1402-4896/add396
Abstract: In this study, a novel optical neuromorphic photonic crystal structure, using a silicon triangular rod-type lattice and germanium-antimony-telluride phase-change material (GST-PCM), is proposed for use as an optical neural network synapse. This structure includes ring… read more here.
Keywords: structure; phase change; optical neural; change material ... See more keywords
Adversarial Attacks on an Optical Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Quantum Electronics"
DOI: 10.1109/jstqe.2022.3207056
Abstract: Adversarial attacks have been extensively investigated for machine learning systems including deep learning in the electronic domain. However, the adversarial attacks on optical neural networks (ONNs) have been seldom considered previously. In this work, we… read more here.
Keywords: adversarial attacks; neural network; attacks optical; optical neural ... See more keywords
Combining optical and neural components in physiological visual image quality metrics as functions of luminance and age
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Vision"
DOI: 10.1167/jov.20.7.20
Abstract: Visual image quality metrics combine comprehensive descriptions of ocular optics (from wavefront error) with a measure of the neural processing of the visual system (neural contrast sensitivity). To improve the ability of these metrics to… read more here.
Keywords: image quality; age; optical neural; visual image ... See more keywords
MediONN: an integrated photonic chip optical neural network for deep learning-based semantic segmentation in early detection of pancreatic cancer
Sign Up to like & getrecommendations! Published in 2025 at "Biomedical Optics Express"
DOI: 10.1364/boe.574635
Abstract: Pancreatic cancer remains one of the deadliest cancers due to the lack of effective early detection tools. While deep neural networks (DNNs) have shown promise in tumor segmentation, electronic accelerators suffer from power inefficiency and… read more here.
Keywords: segmentation; early detection; optical neural; pancreatic cancer ... See more keywords
Experimental realization of arbitrary activation functions for optical neural networks.
Sign Up to like & getrecommendations! Published in 2020 at "Optics express"
DOI: 10.1364/oe.391473
Abstract: We experimentally demonstrate an on-chip electro-optic circuit for realizing arbitrary nonlinear activation functions for optical neural networks (ONNs). The circuit operates by converting a small portion of the input optical signal into an electrical signal… read more here.
Keywords: neural networks; circuit; functions optical; activation functions ... See more keywords
Graphene plasmonic spatial light modulator for reconfigurable diffractive optical neural networks.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.453363
Abstract: Terahertz (THz) diffractive optical neural networks (DONNs) highlight a new route toward intelligent THz imaging, where the image capture and classification happen simultaneously. However, the state-of-the-art implementation mostly relies on passive components and thus the… read more here.
Keywords: neural networks; optical neural; thz; diffractive optical ... See more keywords