Parallel convolutional processing using an integrated photonic tensor
An integrated photonic processor, based on phase-change-material memory arrays and chip-based optical frequency combs, which can operate at speeds of trillions of multiply-accumulate
Experimental optical computing of complex vector convolution with
Here, we present a highly efficient optical computing protocol for complex vector convolution with the superposition of high-dimensional OAM eigenmodes. We used two cascaded spatial light modulators
OCPU: Optical Convolution Processor Unit | A New
Recently, the semiconductor research team of the Chinese Academy of Sciences developed an ultra-highly integrated optical convolution processor.
A photonic integrated processor for multiple parallel computational
ABSTRACT Optical networks with parallel processing capabilities are significant in advancing high-speed data computing and large-scale data processing by providing ultra-width computational
Michelson Interferometric Methods for Full Optical
In this study, the proposed Reconfigurable Complex Convolution Module (RCCM) is capable of independently modulating both phase and
Microcomb-enabled parallel self
Here, we propose the microcomb-enabled parallel optical convolution streaming processor (OCSP) with time, space, and wavelength three-dimensional multiplexing, operating at data rates of
Optical Convolutional Processors
Explore photonic architectures that execute fast convolution operations with high throughput, efficiency, and low latency for deep learning and signal processing.
TOPS-speed complex-valued convolutional accelerator for feature
Complex-valued neural networks can recognize phase-sensitive data in wave-related phenomena. Here, authors report a complex-valued optical convolution accelerator operating at over
Parallel Optical Binary Convolution Processor Based on Arrayed
In this paper, we propose a parallel optical binary convolution (POBC) processor based on arrayed waveguide gratings, which combines multi-dimensional multiplex
Coherent Optical Convolution Processor Based on MMI Structures for
The neural networks in the all-optical domain can provide the advantages of high speed, energy-efficient deep learning algorithms, large bandwidth and high para
NEOCNN: NTT-Enabled Optical Convolution Neural
Despite these advancements, optical neural networks (ONNs), especially optical convolutional neural networks (OCNNs), still face inefficiencies due to the data
The Application of Optical Modules in High-Performance
Optical modules deliver high bandwidth, low latency, and scalable connectivity for high-performance computing, enabling efficient data center
Accelerating Convolutional Processing by Harnessing Channel Shifts
Here, we propose an optical convolutional processor (CP) that leverages the spectral response of an arrayed waveguide grating (AWG) to enhance convolution speed by eliminating the need for
Reconfigurable complex convolution module based optical data
Here, we explores the forefront of optical dynamic real-time signal processing with the introduction of a Reconfigurable Complex Convolution Module (RCCM), leveraging Michelson Interferometric
Experimental optical computing of complex vector convolution with
Orbital angular momentum (OAM), emerging as an inherently high-dimensional property of photons, has boosted information capacity in optical communications. However, the potential of OAM in optical
Fundamentals of an Optical Module
Fundamentals of an Optical Module As an important part of fiber-optic communication, an optical module is a photoelectric converter which converts electrical signals into optical signals and vice versa. An
Integrated Photonics Enables Scalable, Reduced
Photonic Convolution Reduces Neural Network Complexity This research demonstrates monolithically integrated optical convolutional processors
Intelligent processing of optical neural networks: Technological
<p>Convolutional Neural Network（CNN）has shown a wide range of applications in the fields of face recognition, image classification, machine vision, medical imaging, and aerospace due to its
Microcomb-enabled parallel self
Parallel optical convolution streaming processor: we demonstrate the parallel optical convolution streaming processor, incorporating microcomb-enabled wavelength-division-multiplexing
Compact optical convolution processing unit based on
In this paper, we propose a compact on-chip incoherent optical convolution processing unit (OCPU) integrated on a low-loss silicon nitride (SiN) platform to
Compact optical convolution processing unit based on multimode
Here, a compact on-chip optical convolutional processing unit is fabricated on a low-loss silicon nitride platform to demonstrate its capability for large-scale integration.
(PDF) Monolithically Integrated Optical Convolutional
Here, we demonstrate monolithically integrated optical convolutional processors on thin film lithium niobate (TFLN) to enable large-scale
Empowering high-dimensional optical fiber communications with
Leveraging photonic integration and photonic computing acceleration, Lu et al. proposed and demonstrated a scalable integrated silicon photonic processor that enables high-capacity optical
Hypermultiplexed integrated photonics–based optical
Here, we demonstrate a hypermultiplexed tensor optical processor that can perform trillions of operations per second using space-time-wavelength three
Coherent Optical Convolution Processor Based on MMI
Figures Schematic of the new optical matrix multiplication or processor based on MMI structures A simple model of an neural network for
Compact optical convolution processing unit based on
A compact on-chip optical convolutional processing unit is fabricated on a low-loss silicon nitride platform to demonstrate its capability for large-scale integration and the linear
Optical Multimode Tensor Processor on TFLN Platform
Utilizing multimode multiplexing and multimode computing cores, we achieved parallel convolution computation across four channels, demonstrating the effect of image convolution.