Silicon photonic MEMS 2 × 2 elementary switch based on horizontal adiabatic directional couplers

High-speed data processing requires large-scale photonic integrated circuits, in which photonic switches serve as essential components for reconfiguration. Micro-electromechanical-system (MEMS)-based photonic switches, particularly those utilizing adiabatic directional couplers (ADCs), offer advantages such as broad bandwidth, exceptional fabrication tolerance, and digital operation. However, previous ADC-based switches are limited to 1 × 2 configurations, restricting their compatibility with diverse array topologies. Here, we propose a novel silicon photonic MEMS 2 × 2 switch based on horizontal ADCs (HADCs) which is compatible with all mainstream array topologies. In simulation, the switch features low insertion loss of 6-19 mdB/7-32 mdB and low crosstalk of -44.1 - -37.4 dB/-32 - -22.6 dB in broad bandwidth of 1500-1600 nm in the OFF/ON state, respectively. Experimental results demonstrate insertion loss of 0.15-0.7 dB/1.1-1.6 dB, crosstalk of -48.6 - -40.1 dB/-9.2 - -8.4 dB in the OFF/ON state, respectively. The measured switch performance in the ON state can be further improved by using more comprehensive coordinated photonic/mechanical design or low-strain SOI wafers to suppress the waveguide buckling in our future work. Additionally, fast ON/OFF switching speed of 2.6/1.8 μs and reliable durability of >10<sup>9</sup> switching cycles have been demonstrated experimentally. This 2 × 2 switch design addresses critical limitations of previous architectures and is a promising approach for versatile applications including microwave photonics, photonic interconnects, LiDAR, and spectrometers.

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Publication Details

Journal
Optics Express
Published
2025-05-06
DOI
https://doi.org/10.1364/oe.558125
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Silicon photonic MEMS 2 × 2 elementary switch based on horizontal adiabatic directional couplers

Yunzhi Liu, Daoxin Dai, Jiawen Zhu, Huan Li et al.
Optics Express
Neural Networks and Reservoir Computing
article

Silicon photonic MEMS 2 × 2 elementary switch based on horizontal adiabatic directional couplers

Yunzhi Liu, Daoxin Dai, Jiawen Zhu, Huan Li, Yinpeng Hu, Ye Lu
article en

Abstract

High-speed data processing requires large-scale photonic integrated circuits, in which photonic switches serve as essential components for reconfiguration. Micro-electromechanical-system (MEMS)-based photonic switches, particularly those utilizing adiabatic directional couplers (ADCs), offer advantages such as broad bandwidth, exceptional fabrication tolerance, and digital operation. However, previous ADC-based switches are limited to 1 × 2 configurations, restricting their compatibility with diverse array topologies. Here, we propose a novel silicon photonic MEMS 2 × 2 switch based on horizontal ADCs (HADCs) which is compatible with all mainstream array topologies. In simulation, the switch features low insertion loss of 6-19 mdB/7-32 mdB and low crosstalk of -44.1 - -37.4 dB/-32 - -22.6 dB in broad bandwidth of 1500-1600 nm in the OFF/ON state, respectively. Experimental results demonstrate insertion loss of 0.15-0.7 dB/1.1-1.6 dB, crosstalk of -48.6 - -40.1 dB/-9.2 - -8.4 dB in the OFF/ON state, respectively. The measured switch performance in the ON state can be further improved by using more comprehensive coordinated photonic/mechanical design or low-strain SOI wafers to suppress the waveguide buckling in our future work. Additionally, fast ON/OFF switching speed of 2.6/1.8 μs and reliable durability of >10<sup>9</sup> switching cycles have been demonstrated experimentally. This 2 × 2 switch design addresses critical limitations of previous architectures and is a promising approach for versatile applications including microwave photonics, photonic interconnects, LiDAR, and spectrometers.

Optics ExpressVol. 33(11)
Zhejiang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Startup Foundation for Hundred-Talent Program of Zhejiang University, National Science Fund for Distinguished Young Scholars, Natural Science Foundation of Zhejiang Province
Affordable and clean energy
Openalex Percentile: Top 96%
Neural Networks and Reservoir Computing
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