Optimized Design of the Lithium Niobate for Spectrally-Pure-State Generation at MIR Wavelengths Using Metaheuristic Algorithm

Cai, Wu-Hao1; Tian, Ying1; Wang, Shun1; You, Chenglong2; Zhou, Qiang3,4; Jin, Rui-Bo1,5

2022-04-01

10.1002/qute.202200028

ADVANCED QUANTUM TECHNOLOGIES   影响因子和分区

2511-9044

Quantum light sources in the mid-infrared (MIR) band play an important role in many applications, such as quantum sensing, quantum imaging, and quantum communication. However, there is still a lack of high-quality quantum light sources in the MIR band, such as the spectrally pure single-photon source. In this work, the generation of a spectrally-pure state in an optimized poled lithium niobate crystal using a metaheuristic algorithm is presented. In particular, the particle swarm optimization algorithm is adopted to optimize the duty cycle of the poling period of the lithium niobate crystal. With this approach, the spectral purity can be improved from 0.820 to 0.998 under the third group-velocity-matched condition, and the wavelength-tunable range from 3.0 to 4.0 mu m for the degenerate case and 3.0 to 3.7 mu m for the nondegenerate case. This work paves the way for developing quantum photonic technologies at the MIR wavelength band.

lithium niobate crystals metaheuristic algorithm mid-infrared quantum light sources

SCI ; EI

英语

通讯

National Natural Science Foundations of China[12074299,91836102,11704290] ; Guangdong Provincial Key Laboratory[GKLQSE202102]

Physics ; Optics

Quantum Science & Technology ; Optics

WOS:000789505400001

WILEY

Web of Science

1.Wuhan Inst Technol, Hubei Key Lab Opt Informat & Pattern Recognit, Wuhan 430205, Peoples R China
2.Louisiana State Univ, Dept Phys & Astron, Quantum Photon Lab, Baton Rouge, LA 70803 USA
3.Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu 610054, Peoples R China
4.Univ Elect Sci & Technol China, Sch Optoelect Sci & Engn, Chengdu 610054, Peoples R China
5.Southern Univ Sci & Technol, Guangdong Prov Key Lab Quantum Sci & Engn, Shenzhen 518055, Peoples R China

Cai, Wu-Hao,Tian, Ying,Wang, Shun,et al. Optimized Design of the Lithium Niobate for Spectrally-Pure-State Generation at MIR Wavelengths Using Metaheuristic Algorithm[J]. ADVANCED QUANTUM TECHNOLOGIES,2022.

Cai, Wu-Hao,Tian, Ying,Wang, Shun,You, Chenglong,Zhou, Qiang,&Jin, Rui-Bo.(2022).Optimized Design of the Lithium Niobate for Spectrally-Pure-State Generation at MIR Wavelengths Using Metaheuristic Algorithm.ADVANCED QUANTUM TECHNOLOGIES.

Cai, Wu-Hao,et al."Optimized Design of the Lithium Niobate for Spectrally-Pure-State Generation at MIR Wavelengths Using Metaheuristic Algorithm".ADVANCED QUANTUM TECHNOLOGIES (2022).