Multimode nonlinear integrated optics for quantum and machine learning-assisted signal processing

被引：1

作者：

Di Lauro, Luigi ^{[1
]}

Alamgir, Imtiaz ^{[1
]}

Sciara, Stefania ^{[1
]}

Dmitriev, Pavel ^{[1
]}

Mazoukh, Celine ^{[1
]}

Yu, Hao ^{[1
,2
]}

Kamali, Seyedeh Nazanin. ^{[1
]}

Fazili, Riza ^{[1
]}

Rahim, Aadhi A. ^{[1
]}

Fischer, Bennet ^{[1
]}

Little, Brent E. ^{[3
]}

Chu, Sai T. ^{[4
]}

Moss, David J. ^{[5
]}

Wang, Zhiming ^{[2
]}

Morandotti, Roberto ^{[1
,2
]}

机构：

[1] Inst Natl Rech Sci INRS, EMT, Varennes, PQ J3X IS2, Canada

[2] Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu, Peoples R China

[3] QXP Technol Inc, Xian, Peoples R China

[4] City Univ Hong Kong, Hong Kong, Peoples R China

[5] Swinburne Univ Technol, Opt Sci Ctr, Kuching, Australia

来源：

2023 IEEE PHOTONICS SOCIETY SUMMER TOPICALS MEETING SERIES, SUM | 2023年

基金：

加拿大自然科学与工程研究理事会;

关键词：

Integrated photonics; multimode regimes; machine learning; artificial neural networks; quantum key distribution; GENERATION;

D O I：

10.1109/SUM57928.2023.10224446

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

Integrated optics offer advanced platforms for the development of new classical and quantum telecom-based applications. In this work, we leverage on-chip photonic devices that support multimode interaction via four-wave mixing, to develop novel, highly efficient, and secure smart technologies for telecom signal processing.

引用

页数：2

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