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Journal article

Ultra-Efficient and Broadband Nonlinear AlGaAs-on-Insulator Chip for Low-Power Optical Signal Processing

From

Department of Photonics Engineering, Technical University of Denmark1

Nanophotonic Devices, Department of Photonics Engineering, Technical University of Denmark2

Centre of Excellence for Silicon Photonics for Optical Communications, Centers, Technical University of Denmark3

Ultra-fast Optical Communication, Department of Photonics Engineering, Technical University of Denmark4

Four-wave mixing (FWM) is a versatile optical nonlinear parametric process that enables a plethora of signal processing functionalities in optical communication. Realization of efficient and broadband all-optical signal processing with ultra-low energy consumption has been elusive for decades. Although tremendous efforts have been put into developing various material platforms, it has remained a challenge to obtain both high efficiency and broadband operation.

Here, an aluminum gallium arsenide nonlinear chip with high FWM conversion efficiency per length per pump power and an ultra-broad bandwidth is presented. Combining an ultra-high material nonlinearity and strong effective nonlinear enhancement from a high-index-contrast waveguide layout, an ultra-high conversion efficiency of −4 dB is obtained in a 3-mm-long nano-waveguide.

Taking advantage of high-order dispersion, a scheme is presented to realize an ultra-broad continuous conversion bandwidth covering 1280–2020 nm. A microresonator is also utilized to demonstrate a conversion efficiency enhancement gain of more than 50 dB with respect to a waveguide device, which significantly reduces the power consumption.

Moreover, wavelength conversion of an optical serial data signal is performed at a bit rate beyond terabit-per-second, showing the capabilities of this III-V semiconductor material for broadband optical signal processing.

Language: English
Year: 2018
Pages: 1800111
ISSN: 18638899 and 18638880
Types: Journal article
DOI: 10.1002/lpor.201800111
ORCIDs: Pu, Minhao , Hu, Hao , Ottaviano, Luisa , Semenova, Elizaveta , Oxenløwe, Leif Katsuo and Yvind, Kresten

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