Efficient and broadband quantum frequency comb generation in a monolithic AlGaAs-on-insulator microresonator

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Authors: Xiaodong Zheng, Xu Jing, C. W. Liu, Yufu Li, Runqiu He, Lina Xia, Fei Wang, Yuechan Kong, Tangsheng Chen, Liangliang Lu, Jiayun Dai, Bin Niu
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Abstract

The exploration of photonic systems for quantum information processing has generated widespread interest in multiple cutting-edge research fields. Photonic frequency encoding stands out as an especially viable approach, given its natural alignment with established optical communication technologies, including fiber networks and wavelength-division multiplexing systems. Substantial reductions in hardware resources and improvements in quantum performance can be expected by utilizing multiple frequency modes. The integration of nonlinear photonics with microresonators provides a compelling way for generating frequency-correlated photon pairs across discrete spectral modes. Here, by leveraging the high material nonlinearity and low nonlinear loss, we demonstrate an efficient chip-scale multi-wavelength quantum light source based on AlGaAs-on-insulator, featuring a free spectral range of approximately 200 GHz at telecom wavelengths. The optimized submicron waveguide geometry provides both high effective nonlinearity (~550 m$^{-1}$W$^{-1}$) and broad generation bandwidth, producing eleven distinct wavelength pairs across a 35.2 nm bandwidth with an average spectral brightness of 2.64 GHz mW$^{-2}$nm$^{-1}$. The generation of energy-time entanglement for each pair of frequency modes is verified through Franson interferometry, yielding an average net visibility of 93.1%. With its exceptional optical gain and lasing capabilities, the AlGaAs-on-insulator platform developed here shows outstanding potential for realizing fully integrated, ready-to-deploy quantum photonic systems on chip.

Fields of Study & Subjects

Quantum Information and Cryptography Photonic and Optical Devices Quantum optics and atomic interactions

Publication details

Journal / source
arXiv (Cornell University)
Publication date
13 January 2026
Document type
Preprint