dorsal/arxiv
View SchemaEfficient and broadband quantum frequency comb generation in a monolithic AlGaAs-on-insulator microresonator
| Authors | Xiaodong Zheng, Xu Jing, Chenbo Liu, Yufu Li, Runqiu He, Lina Xia, Fei Wang, Yuechan Kong, Tangsheng Chen, Liangliang Lu, Jiayun Dai, Bin Niu |
|---|---|
| Categories | |
| ArXiv ID | 2601.08289vv1 |
| URL | https://arxiv.org/abs/2601.08289 |
| License | http://creativecommons.org/licenses/by/4.0/ |
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.
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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.",
"arxiv_id": "2601.08289",
"authors": [
"Xiaodong Zheng",
"Xu Jing",
"Chenbo Liu",
"Yufu Li",
"Runqiu He",
"Lina Xia",
"Fei Wang",
"Yuechan Kong",
"Tangsheng Chen",
"Liangliang Lu",
"Jiayun Dai",
"Bin Niu"
],
"categories": [
"quant-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"title": "Efficient and broadband quantum frequency comb generation in a monolithic AlGaAs-on-insulator microresonator",
"url": "https://arxiv.org/abs/2601.08289",
"version": "v1"
},
"schema_id": "dorsal/arxiv",
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"execution_id": "6cff90f3-7f3a-4cb3-864c-a41f1335ee20",
"id": "arXiv Dataset",
"type": "Model",
"variant": "snapshot-2026-01-17",
"version": "0.1.0"
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