Scalable Hermite–Gaussian mode-demultiplexing hybrids

Wen, He; Liu, Huiyuan; Zhang, Yuanhang; Sampson, Rachel; Fan, Shengli; Li, Guifang

doi:10.1364/ol.387460

Cited by 17 publications

(8 citation statements)

References 10 publications

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“…In Fig. 4c , Li et al implemented the linear polarization mode and Hermite–Gaussian mode demultiplexing hybrids with similar methods 99 , 100 . Each input mode was converted to four fundamental modes with a 90-degree phase difference located at nonoverlapping positions.…”

Section: Mvms For Optical Signal Processingmentioning

confidence: 99%

Photonic matrix multiplication lights up photonic accelerator and beyond

et al. 2022

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Matrix computation, as a fundamental building block of information processing in science and technology, contributes most of the computational overheads in modern signal processing and artificial intelligence algorithms. Photonic accelerators are designed to accelerate specific categories of computing in the optical domain, especially matrix multiplication, to address the growing demand for computing resources and capacity. Photonic matrix multiplication has much potential to expand the domain of telecommunication, and artificial intelligence benefiting from its superior performance. Recent research in photonic matrix multiplication has flourished and may provide opportunities to develop applications that are unachievable at present by conventional electronic processors. In this review, we first introduce the methods of photonic matrix multiplication, mainly including the plane light conversion method, Mach–Zehnder interferometer method and wavelength division multiplexing method. We also summarize the developmental milestones of photonic matrix multiplication and the related applications. Then, we review their detailed advances in applications to optical signal processing and artificial neural networks in recent years. Finally, we comment on the challenges and perspectives of photonic matrix multiplication and photonic acceleration.

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Section: Mvms For Optical Signal Processingmentioning

confidence: 99%

Photonic matrix multiplication lights up photonic accelerator and beyond

et al. 2022

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“…The pixel size is 16 μm and the size of each phase mask is 256×128 pixels. The wavefront matching algorithm is utilized to compute the patterns of each phase mask, in which the phase patterns are iteratively modified by calculating the phase difference at each spatial coordinate between the forward and backward propagating beams [18,19]. This iteratively updating process is performed at each phase mask by turns until a stable result is reached.…”

Section: Simulation Methodsmentioning

confidence: 99%

Scalable low-modal-crosstalk mode-group demultiplexer for MDM transmission over MMF

Cui,

Deng,

Liu

et al. 2024

International Academic Conference on Optics and Photonics (IACOP 2023)

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Weakly-coupled mode-division multiplexing (MDM) transmission technique over widely-deployed multimode fiber (MMF) is considered a promising approach to enhance the capacity of optical fiber communication systems. In order to be compatible with cost-efficient intensity-modulation/direct-detection (IM/DD) systems, effective mode-group demultiplexing approaches to simultaneously receive each mode group of MMF are highly desired. In this paper, we propose a scalable low-modal-crosstalk mode-group demultiplexer over MMF using multi-plane light conversion (MPLC), in which input Hermite-Gaussian (HG) modes of MMF are first converted to bridging modes that composed of HG 00 modes distributed as a right-angled triangle in Cartesian coordinates, and then each HG 00 mode belonging to the same mode group are respectively converted to different HG n0 modes at the same output for simultaneous detection. With the help of bridging modes, the MPLC-based mode-group demultiplexer can scale to demultiplex more mode groups with relatively few phase masks. A 5 mode-group demultiplexer is also design for demonstration, and simulation results show that the modal-crosstalk are lower than -22.26 dB for all mode groups.

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“…Most of the previous demonstrations on bulky MDOHs [63,64] and integrated optical hybrid circuits [10][11][12][13] hardly reduced the footprint. Benefited from the inverse-design method, the complex optical modules or subsystems with small areas can be assembled after the basic components were demonstrated.…”

Section: Mode-demultiplexing Optical Hybridmentioning

confidence: 99%

Dielectric Metasurfaces Enabled Ultradensely Integrated Multidimensional Optical System

Zhou

Wang

Gao

et al. 2022

Laser & Photonics Reviews

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Metasurfaces consisted of subwavelength nanostructures can extremely interact with light and manipulate the characteristics of amplitude, phase, and polarization. In particular, on-chip dielectric metasurfaces have attracted significant attention for optical communication and computing, due to its compact footprint, low loss, and broad bandwidth. Herein, an ultradensely integrated multidimensional optical system with a footprint of only 20 × 30 µm 2 based on inverse-designed dielectric metasurface network, incorporating mode-division multiplexing, and coherent optical communication technologies that can multiply the system capacity is demonstrated. It is assembled by the ultracompact multifunction on-chip metasurface devices, including four-mode demultiplexer, optical hybrid, crossing, and bending, which all have a size of only several micrometers. The inverse-designed work can significantly broaden the integrated device applications of on-chip metasurfaces and pave an alternative way for large-scale high-capacity optical communication system.

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Scalable Hermite–Gaussian mode-demultiplexing hybrids

Cited by 17 publications

References 10 publications

Photonic matrix multiplication lights up photonic accelerator and beyond

Photonic matrix multiplication lights up photonic accelerator and beyond

Scalable low-modal-crosstalk mode-group demultiplexer for MDM transmission over MMF

Dielectric Metasurfaces Enabled Ultradensely Integrated Multidimensional Optical System

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