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.
Authors
- Yunzhi Liu (ORCID: https://orcid.org/0000-0003-0524-4023)
- Daoxin Dai (ORCID: https://orcid.org/0000-0002-2769-3009)
- Jiawen Zhu (ORCID: https://orcid.org/0000-0001-5431-1654)
- Huan Li (ORCID: https://orcid.org/0000-0002-3501-298X)
- Yinpeng Hu (ORCID: https://orcid.org/0009-0001-6425-0231)
- Ye Lu
Institutions
- Zhejiang University (CN)
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
Funders
- 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