Parallelized and Cascadable Optical Logic Operations by Few-Layer Diffractive Optical Neural Network

Liu, Xianjin; Zhang, Dasen; Wang, Licheng; Ma, Ting; Liu, Zhenzhen; Xiao, Jun Jun

doi:10.3390/photonics10050503

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…It has huge potential in various fields, especially those with requirements for high-throughput and on-the-fly data processing, such as ANNs. Optical neural networks (ONNs), which build ANNs with optical computing devices, offer a promising and effective approach to further improve the performance of ANNs [11][12][13]. Optical computing will become an important core technology for the next stage of information processing.…”

Section: Introductionmentioning

confidence: 99%

Design of All-Optical Subtractors Utilized with Plasmonic Ring Resonators for Optical Computing

Song

Xie

et al. 2023

Photonics

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In this paper, a novel plasmonic all-optical half-subtractor and full-subtractor are designed for optical computing. The structure of plasmonic subtractors consists of a metal–insulator–metal (MIM) waveguide and rectangular ring resonators covered by a graphene layer. Due to the nonlinear optical properties of graphene, the states of the plasmonic resonators can be controlled by the pump intensity of a pump beam focused on the graphene layer. The resonators can work as all-optical switches with an ultra-fast response time to constitute optical logic devices according to the directed logic mechanism. A finite-difference time-domain method is utilized to numerically investigate the transmission of the output signals which represent the results of subtraction operations. Simulation results obtained indicate that the proposed plasmonic devices have the ability to implement half-subtraction and full-subtraction with a small feature size and fast response time, and provide a new concept and method for the design and realization of optical computing devices.

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Section: Introductionmentioning

confidence: 99%

Design of All-Optical Subtractors Utilized with Plasmonic Ring Resonators for Optical Computing

Song

Xie

et al. 2023

Photonics

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Hypermultiplexed Off‐Chip Hologram by On‐Chip Integrated Metasurface

Liu,

Ma,

Zhang

et al. 2024

Advanced Optical Materials

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The waveguide‐integrated metasurface introduces a novel photonic chip capable of converting guided modes into free‐space light. This enables functions such as off‐chip beam focusing, steering, and imaging. The challenge lies in achieving hyper‐multiplexing across diverse parameters, including guided‐wave mode type, direction, polarization, and notably, multiple wavelengths. Here, a comprehensive end‐to‐end inverse design framework is introduced, rooted in a physical model, for the multifunctional design of on‐chip metasurfaces. This framework allows for metasurface optimization through a target‐field‐driven iteration process. A hypermultiplexed on‐chip metasurface capable of generating red‐green‐blue holograms at multiple target planes is demonstrated, with both independent and cooperative control over guided‐wave direction. Significantly, the proposed method streamlines the design process utilizing only the positions of meta‐atoms as the design variable. Nine independent holographic channels are demonstrated through a combination of wavelength and distance multiplexing. Moreover, by incorporating the excitation direction into the design, the metasurface produces a total of 36 distinct holograms. The robustness of these results against fabrication discrepancies is validated through 3D full‐wave electromagnetic simulations, aligning well with advanced manufacturing techniques. The research presents a universal design framework for the development of multifunctional on‐chip metasurfaces, opening up new avenues for a wide range of applications.

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Electromagnetic Manipulation Evolution from Stacked Meta‐Atoms to Spatially Cascaded Metasurfaces

Wang,

Pang,

Wang

et al. 2024

Annalen der Physik

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Metasurfaces, known as planar two‐dimensional (2D) metamaterials, are proposed to overcome obstacles like high loss and bulky volume occurring with three‐dimensional (3D)metamaterials. Single‐layer structures face limited degrees of freedom, and cannot satisfy the growing functional demands for meta‐devices. To simplify the design process and gain more controllability, quasi‐2D structures are introduced into metasurfaces in the form of stacked meta‐atoms design or spatially cascaded metasurfaces. These configurations greatly expand the manipulation capability of metasurfaces and spawn a variety of functions and applications. In this review, the progress of metasurfaces with multi‐layer stacked meta‐atoms and spatially cascaded metasurfaces is presented. Progress is presented from metasurfaces with multi‐layer stacked meta‐atom configurations to spatially cascaded metasurfaces, focusing on the development of versatile applications for these quasi‐2D configurations. Special attentions are paid to the diffractive deep neural networks(D2NNs), and a category of recently developed cascaded metasurfaces introduces a brand‐new method into metasurface inverse designing as well as paves paths to all‐optical computing. Finally, the promising avenues for such metasurfaces are discussed.

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Parallelized and Cascadable Optical Logic Operations by Few-Layer Diffractive Optical Neural Network

Cited by 4 publications

References 32 publications

Design of All-Optical Subtractors Utilized with Plasmonic Ring Resonators for Optical Computing

Design of All-Optical Subtractors Utilized with Plasmonic Ring Resonators for Optical Computing

Hypermultiplexed Off‐Chip Hologram by On‐Chip Integrated Metasurface

Electromagnetic Manipulation Evolution from Stacked Meta‐Atoms to Spatially Cascaded Metasurfaces

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