Mapping information and light: Trends of AI-enabled metaphotonics

Current Opinion in Solid State and Materials Science, Journal Year: 2024, Volume and Issue: 29, P. 101144 - 101144

Published: Feb. 20, 2024

Language: Английский

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Compute-First Optical Detection for Noise-Resilient Visual Perception

ACS Photonics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Language: Английский

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All-optical Fourier neural network using partially coherent light

Chip, Journal Year: 2025, Volume and Issue: unknown, P. 100140 - 100140

Published: March 1, 2025

Language: Английский

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Creating Anti‐Chiral Exceptional Points in Non‐Hermitian Metasurfaces for Efficient Terahertz Switching

Advanced Science, Journal Year: 2024, Volume and Issue: 11(28)

Published: May 17, 2024

Abstract Non‐Hermitian degeneracies, also known as exceptional points (EPs), have presented remarkable singular characteristics such the degeneracy of eigenvalues and eigenstates enable limitless opportunities for achieving fascinating phenomena in EP photonic systems. Here, general theoretical framework experimental verification a non‐Hermitian metasurface that holds pair anti‐chiral EPs are proposed novel approach efficient terahertz (THz) switching. First, based on Pancharatnam–Berry (PB) phase unitary transformation, it is discovered coupling variation ±1 spin will lead to asymmetric modulation two orthogonal linear polarizations (LP). Through loss‐induced merging EPs, decoupling then successfully realized metasurface. Final, THz experimentally demonstrated, which exhibits depth exceeding 70% Off‐On‐Off switching cycle less than 9 ps one LP while remains unaffected another one. Compared with conventional devices, metadevice shows several figures merits, single frequency operation, high depth, ultrafast speed. The theory device can be extended numerous systems varying from microwave, THz, infrared, visible light.

Language: Английский

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Complex-Amplitude-Modulated Meta-Device for Optical Image Processing

Chip, Journal Year: 2025, Volume and Issue: unknown, P. 100132 - 100132

Published: Feb. 1, 2025

Language: Английский

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Reconfigurable Metasurface for Enhanced Imaging and Image Denoising

Advanced Theory and Simulations, Journal Year: 2025, Volume and Issue: unknown

Published: March 7, 2025

Abstract Optical metasurfaces (flat optics) allow unprecedented control over light, enabling multi‐dimensional light modulation. We propose a non‐local metasurface hosted by phase change material Sb 2 S 3 for tunable image processing. It supports three imaging modalities: bright field, edge detection, and denoising intensity noise, functioning as diffractive denoisers. The Structural Similarity Index Measure is used metric between the input noisy denoised image. By tuning of , its refractive index changes, effectively shifting electromagnetic modes resulting in these modalities providing required optical transfer function (OTF). optimized design to achieve OTF performed simulations on complex images with many corners 2‐dimensional structures. introduced salt pepper noise into conducted evaluate performance. discuss shape applications adaptation simultaneous both which involve high spatial frequencies object. Our dynamically platform can seamlessly integrate standard coherent systems, versatile operations

Language: Английский

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All‐Optical Autoencoder Machine Learning Framework Using Linear Diffractive Processors

Laser & Photonics Review, Journal Year: 2025, Volume and Issue: unknown

Published: April 13, 2025

Abstract Diffractive deep neural network (D 2 NN), known for its high speed and strong parallelism, is applied across various fields, including pattern recognition, image processing, transmission. However, existing architectures primarily focus on data representation within the original domain, with limited exploration of latent space, thereby restricting information mining capabilities multifunctional integration D NNs. Here, an all‐optical autoencoder (OAE) framework proposed that linearly encodes input wavefield into a prior shape distribution in diffractive space (DLS) decodes encoded back to wavefield. By leveraging bidirectional multiplexing property NN, OAE modelsfunction as encoders one direction decoders opposite direction. The models are three areas: denoising, noise‐resistant reconfigurable classification, generation. Proof‐of‐concept experiments conducted validate numerical simulations. exploits potential representations, enabling single set processors simultaneously achieve reconstruction, representation, This work not only offers fresh insights design optical generative but also paves way developing multifunctional, highly integrated, general intelligent systems.

Language: Английский

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Nonlocal flat optics for size-selective image processing and denoising

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: May 14, 2025

Language: Английский

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Minimalist Optical Neural Computing: Optical Diffractive Neural Network by 2‐level Quantized Pixel‐Wise Optical Encoding

Laser & Photonics Review, Journal Year: 2025, Volume and Issue: unknown

Published: May 19, 2025

Abstract Diffractive optical neural networks (DONNs) offer high‐speed, energy‐efficient artificial intelligence (AI) computation but face challenges with misalignment and model‐to‐reality gaps. In this work, an ultra‐simplified DONN architecture based on a digital mirror device (DMD) camera, dubbed as m‐DONN, is introduced experimentally validated. Notably, within the m‐DONN framework, DMD acts both input layer solitary hidden layer, which trained 2‐level quantization, markedly differing from configuration found in traditional DONNs. This minimalism binarization of diffraction can result highly nonlinear correlation between encoded information output. A 10‐classification accuracy over 82% achieved MNIST dataset theoretical modeling experimental measurements, utilizing 10 000 test samples. Furthermore, employed to construct online reinforcement learning agent capable dynamically stabilizing virtual inverted pendulum. The inherent simplicity proposed computing system, coupled cost‐effective implementation using either active or passive key components, not only demonstrates extremely powerful yet simple neuromorphic setup also paves way for acceleration optoelectronic AI applications across variety scenarios.

Language: Английский

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Physical twinning for joint encoding-decoding optimization in computational optics: a review

Light Science & Applications, Journal Year: 2025, Volume and Issue: 14(1)

Published: April 15, 2025

Language: Английский

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