Optical Realization of Wave-Based Analog Computing with Metamaterials
Recently, the study of analog optical computing raised renewed interest due to its natural advantages of parallel, high speed and low energy consumption over conventional digital counterpart, particularly in applications of big data and high-throughput ...
Kaiyang Cheng +5 more
semanticscholar +4 more sources
Spatial‐Wavelength Multiplexing Error‐Controlled Photonic Analog Computing System [PDF]
In the “post‐Moore era,” the growing challenges in traditional digital computing have driven renewed interest in analog computing. Photonic analog computing has emerged as an effective paradigm for overcoming the fundamental bottlenecks that constrain ...
Tao Zhu +15 more
semanticscholar +3 more sources
Models of optical quantum computing
I review some work on models of quantum computing, optical implementations of these models, as well as the associated computational power. In particular, we discuss the circuit model and cluster state implementations using quantum optics with various ...
Hari Krovi, Krovi Hari
core +2 more sources
Large-Scale Reconfigurable Integrated Circuits for Wideband Analog Photonic Computing
Photonic integrated circuits (PICs) have been a research hotspot in recent years. Programmable PICs that have the advantages of versatility and reconfigurability that can realize multiple functions through a common structure have been especially popular.
Yuhan Yao +4 more
core +2 more sources
Digital-analog hybrid matrix multiplication processor for optical neural networks
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
Kong, Deming +7 more
core +2 more sources
All-optical analog differential operation and information processing empowered by meta-devices
The burgeoning demand for high-performance computing, robust data processing, and rapid growth of big data necessitates the emergence of novel optical devices to efficiently execute demanding computational processes.
Chen Zhou +2 more
semanticscholar +2 more sources
Reconfigurable Analog Computing Metasurfaces Based on Thin Film Lithium Niobate [PDF]
Analog computing metasurface offers significant advantages, including ultrafast computation, low power consumption, and parallel processing of data, thereby presenting a promising pathway toward the realization of a compact and integrated ultrafast all ...
Huan Chen +4 more
semanticscholar +2 more sources
Microcomb-enabled parallel self- calibration optical convolution streaming processor [PDF]
The exponential growth of cloud computing and artificial intelligence (AI) applications has driven an urgent need for high-bandwidth, energy-efficient hardware architectures in data centers.
Jiajia Wang +15 more
doaj +2 more sources
Inverse-designed nanophotonic neural network accelerators for ultra-compact optical computing [PDF]
Inverse-designed nanophotonic devices offer promising solutions for analog optical computation, where high-density photonic integration is critical for scaling computational complexity.
J. Sved +5 more
semanticscholar +2 more sources
Image classification with a fully connected opto-electronic neural network [PDF]
Optical approaches have made great strides enabling high-speed, scalable computing necessary for modern deep learning and AI applications. In this study, we introduce a multilayer optoelectronic computing framework that alternates between optical and ...
Song Alexander +2 more
doaj +1 more source

