Circuit-level convergence of electronics and photonics: basic concepts and recent advances

Tan, Min; Wang, Yuhang; Wang, Ken Xingze; Yu, Yuan; Zhang, Chi

doi:10.1007/s12200-022-00013-8

Cited by 12 publications

(4 citation statements)

References 95 publications

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“…Finally, factors like scalability, reconfigurability, and sensitivity to fabrication imperfections can influence the choice between PICs and ASICs [87].…”

Section: Usage Of the Complexity Metrics In Photonic Hardwarementioning

confidence: 99%

Computational Complexity Optimization of Neural Network-Based Equalizers in Digital Signal Processing: A Comprehensive Approach

Freire,

Srivallapanondh,

Spinnler

et al. 2024

J. Lightwave Technol.

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Experimental results based on offline processing reported at optical conferences increasingly rely on neural network-based equalizers for accurate data recovery. However, achieving low-complexity implementations that are efficient for real-time digital signal processing remains a challenge. This paper addresses this critical need by proposing a systematic approach to designing and evaluating low-complexity neural network equalizers. Our approach focuses on three key phases: training, inference, and hardware synthesis. We provide a comprehensive review of existing methods for reducing complexity in each phase, enabling informed choices during design. For the training and inference phases, we introduce a novel methodology for quantifying complexity. This includes new metrics that bridge software-to-hardware considerations, revealing the relationship between complexity and specific neural network architectures and hyperparameters. We guide the calculation of these metrics for both feed-forward and recurrent layers, highlighting the appropriate choice depending on the application's focus (software or hardware). Finally, to demonstrate the practical benefits of our approach, we showcase how the computational complexity of neural network equalizers can be significantly reduced and measured for both teacher (biLSTM+CNN) and student (1D-CNN) architectures in different scenarios. This work aims to standardize the estimation and optimization of computational complexity for neural networks applied to real-time digital signal processing, paving the way for more efficient and deployable optical communication systems.

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“…Finally, factors like scalability, reconfigurability, and sensitivity to fabrication imperfections can influence the choice between PICs and ASICs [87].…”

Section: Usage Of the Complexity Metrics In Photonic Hardwarementioning

confidence: 99%

Computational Complexity Optimization of Neural Network-Based Equalizers in Digital Signal Processing: A Comprehensive Approach

Freire,

Srivallapanondh,

Spinnler

et al. 2024

J. Lightwave Technol.

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“…Electronic-photonic heterogeneous-converging integrated circuits (EPHICs) are widely accepted as a promising technology in the post-Moore era [1,2]. By sufficiently combining the strengths of EICs and PICs, many impending challenges in different fields, such as data transmission and processing, are expected to be addressed.…”

Section: Introductionmentioning

confidence: 99%

Compact photonic model based on coupled-mode theory for nonlinear interactions in electronic-photonic co-simulation

Zhang,

Fan,

Chen

et al. 2024

Preprint

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This paper demonstrates a Verilog-A compact photonic model based on coupled-mode theory for four-wave mixing (FWM) to present a general framework and methodology for modeling nonlinear interactions in electronic-photonic co-simulation. The model is compatible with existing EDA platforms and can support rapid electronic-photonic co-simulation. It avoids describing the complicated physical process of the FWM and provides an easy way for system designers to monitor the dynamics of the critical optical parameters, thus accelerating the co-design and co-optimization of the electronic-photonic hybrid systems incorporating FWM. Meanwhile, the model is not tailored for a particular photonic device but can be applied to different photonic devices as a fundamental component. The model framework and modeling methodology presented in this paper are expected to be further applied to the modeling of other optical nonlinear interactions. The simulation results of the proposed model agree well with both numerical and experimental results. A closed-loop electronic-photonic co-simulation example using the proposed model is also carried out successfully.

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“…[31,32] Further optical integration of the lasing microelement on a chip would require the assembly of a photonic circuit with an outcoupling waveguide. [16,33,34] The first attempt to integrate a metal halide perovskite laser onto a photonic chip was made by Cegielski et al [34] In that study, a Si 3 N 4 waveguide and a metal halide perovskite racetrack microresonator were integrated into a Si/SiO 2 substrate. The chip was fabricated using conventional optical lithography combined with low-pressure chemical vapor deposition, and spin coating was conducted to fill the trenches with functional layers.…”

Section: Introductionmentioning

confidence: 99%

“…Further optical integration of the lasing microelement on a chip would require the assembly of a photonic circuit with an outcoupling waveguide. [ 16,33,34 ] The first attempt to integrate a metal halide perovskite laser onto a photonic chip was made by Cegielski et al. [ 34 ] In that study, a Si 3 N 4 waveguide and a metal halide perovskite racetrack microresonator were integrated into a Si/SiO 2 substrate.…”

Section: Introductionmentioning

confidence: 99%

Fully Inkjet‐Printed Perovskite Microlaser with an Outcoupling Waveguide

Smirnov

Polushkin

Falchevskaya

et al. 2023

Advanced Optical Materials

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Photonic materials based on metal halide perovskites undergo rapid development owing to their unique optical properties and facile synthesis. Concurrently, there is also a growing interest in integrated photonics that can combine several elements on one chip. Nowadays technologies of integrated photonics are based on the traditional mask lithography combined with physical or chemical deposition methods. In this study, the possibility of facile fabrication of a simple pair of photonic elements is addressed, such as a microresonator with an outcoupling waveguide by means of inkjet printing on a glass substrate covered by a layer of polydimethylsiloxane (PDMS). The printed laser has revealed an appreciably high laser emission with a Q‐factor of 3300 and a threshold excitation fluence of 34 µJ·cm−2. The outcoupling waveguide has demonstrated the capability to transfer a reasonable part of the emitted radiation. The experimental results with a numerical simulation based on an appropriate physical model are also rationalized. Thus, the study points out a perspective for integrated photonics to be possibly implemented with this relatively cheap, flexible, and scalable fabrication method.

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Circuit-level convergence of electronics and photonics: basic concepts and recent advances

Cited by 12 publications

References 95 publications

Computational Complexity Optimization of Neural Network-Based Equalizers in Digital Signal Processing: A Comprehensive Approach

Computational Complexity Optimization of Neural Network-Based Equalizers in Digital Signal Processing: A Comprehensive Approach

Compact photonic model based on coupled-mode theory for nonlinear interactions in electronic-photonic co-simulation

Fully Inkjet‐Printed Perovskite Microlaser with an Outcoupling Waveguide

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