Optimal design and experimental demonstration of a silicon-based ultra-compact mode splitter

Author:

Mao Siqiang1ORCID,Hu Jinzhu1,Zhang Hanyu1,Jiang Weifeng1ORCID

Affiliation:

1. Nanjing University of Posts and Telecommunications

Abstract

To improve the flexibility of the mode division multiplexing (MDM) system, we propose and experimentally demonstrate a mode splitter by using the inverse design method. The proposed mode splitter has an ultra-compact footprint of 5 × 3 µm2, and the functional region occupies a footprint of only 5 × 1 µm2. The optimized mode splitter can separate the TE0 and TE1 modes without changing the mode order. When transmitting the TE0 mode, the measured insertion loss and crosstalk are 2.14 dB and −13.34 dB, respectively, at the operating wavelength of 1550 nm. The 3-dB bandwidth is >66 nm, and the crosstalk is lower than −12.37 dB over the C + L band. When transmitting the TE1 mode, the insertion loss and crosstalk are 3.04 dB and −16 dB, respectively, at 1550 nm. The 3-dB bandwidth is >57 nm, and the crosstalk is below −12.89 dB over the whole C + L band.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

General Program of Natural Science Foundation of Jiangsu Province

State Key Laboratory of Advanced Optical Communication Systems and Networks

Research & Practice Innovation Program of Jiangsu Province

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics

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1. Ultra-compact power splitting higher-order mode pass filter based on inverse design method;Optics Communications;2024-03

2. Inverse design of highly efficient and broadband mode splitter on SOI platform;Chinese Optics Letters;2024

3. Ultra-compact Silicon-based Three Mode Splitter via Inverse Design Method;2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM);2023-11-04

4. Inverse-designed counter-tapered coupler based broadband and compact silicon mode multiplexer/demultiplexer;Optics Express;2023-09-20

5. Deep Neural Network for Performance Prediction of Silicon Mode Splitter;Proceedings of 2023 Chinese Intelligent Automation Conference;2023

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