Photonic indistinguishability characterization and optimization for cavity-based single-photon source
Indistinguishability of single photons from independent sources is critically important for scalable quantum technologies. We provide a comprehensive comparison of single-photon indistinguishability of different kinds of cavity quantum electrodynamics (CQEDs) systems by numerically simulating Hong–O...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | Machine Learning: Science and Technology |
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| Online Access: | https://doi.org/10.1088/2632-2153/adf53c |
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| _version_ | 1849335597489979392 |
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| author | Miao Cai Mingyuan Chen Jiangshan Tang Keyu Xia |
| author_facet | Miao Cai Mingyuan Chen Jiangshan Tang Keyu Xia |
| author_sort | Miao Cai |
| collection | DOAJ |
| description | Indistinguishability of single photons from independent sources is critically important for scalable quantum technologies. We provide a comprehensive comparison of single-photon indistinguishability of different kinds of cavity quantum electrodynamics (CQEDs) systems by numerically simulating Hong–Ou–Mandel two-photon interference. We find that the CQED system using natural atoms exhibits superiority in indistinguishability, benefiting from the inherently identical features. Moreover, a $\Lambda-$ type three-level atom shows essential robustness against variation of various system parameters because it exploits the two ground states with considerably smaller decay rates for single-photon generation. Furthermore, a machine learning-based framework is proposed to significantly and robustly improve single-photon indistinguishability for two non-identical CQED systems. This work may pave the way for designing and engineering reliable and scalable photon-based quantum technologies. |
| format | Article |
| id | doaj-art-2912385d32f94939b77a2f836e6334bb |
| institution | Kabale University |
| issn | 2632-2153 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Machine Learning: Science and Technology |
| spelling | doaj-art-2912385d32f94939b77a2f836e6334bb2025-08-20T03:45:14ZengIOP PublishingMachine Learning: Science and Technology2632-21532025-01-016303502610.1088/2632-2153/adf53cPhotonic indistinguishability characterization and optimization for cavity-based single-photon sourceMiao Cai0https://orcid.org/0000-0001-9701-8669Mingyuan Chen1https://orcid.org/0000-0002-2633-9841Jiangshan Tang2Keyu Xia3College of Engineering and Applied Sciences, Nanjing University , Nanjing 210023, People’s Republic of China; National Laboratory of Solid State Microstructures, Nanjing University , Nanjing 210093, People’s Republic of ChinaCollege of Engineering and Applied Sciences, Nanjing University , Nanjing 210023, People’s Republic of ChinaCollege of Engineering and Applied Sciences, Nanjing University , Nanjing 210023, People’s Republic of ChinaCollege of Engineering and Applied Sciences, Nanjing University , Nanjing 210023, People’s Republic of China; National Laboratory of Solid State Microstructures, Nanjing University , Nanjing 210093, People’s Republic of China; Shishan Laboratory, Suzhou Campus of Nanjing University , Suzhou 215000, People’s Republic of ChinaIndistinguishability of single photons from independent sources is critically important for scalable quantum technologies. We provide a comprehensive comparison of single-photon indistinguishability of different kinds of cavity quantum electrodynamics (CQEDs) systems by numerically simulating Hong–Ou–Mandel two-photon interference. We find that the CQED system using natural atoms exhibits superiority in indistinguishability, benefiting from the inherently identical features. Moreover, a $\Lambda-$ type three-level atom shows essential robustness against variation of various system parameters because it exploits the two ground states with considerably smaller decay rates for single-photon generation. Furthermore, a machine learning-based framework is proposed to significantly and robustly improve single-photon indistinguishability for two non-identical CQED systems. This work may pave the way for designing and engineering reliable and scalable photon-based quantum technologies.https://doi.org/10.1088/2632-2153/adf53csingle-photon indistinguishabilitycavity quantum electrodynamicssingle-photon sourcemachine learningcavity-atom system |
| spellingShingle | Miao Cai Mingyuan Chen Jiangshan Tang Keyu Xia Photonic indistinguishability characterization and optimization for cavity-based single-photon source Machine Learning: Science and Technology single-photon indistinguishability cavity quantum electrodynamics single-photon source machine learning cavity-atom system |
| title | Photonic indistinguishability characterization and optimization for cavity-based single-photon source |
| title_full | Photonic indistinguishability characterization and optimization for cavity-based single-photon source |
| title_fullStr | Photonic indistinguishability characterization and optimization for cavity-based single-photon source |
| title_full_unstemmed | Photonic indistinguishability characterization and optimization for cavity-based single-photon source |
| title_short | Photonic indistinguishability characterization and optimization for cavity-based single-photon source |
| title_sort | photonic indistinguishability characterization and optimization for cavity based single photon source |
| topic | single-photon indistinguishability cavity quantum electrodynamics single-photon source machine learning cavity-atom system |
| url | https://doi.org/10.1088/2632-2153/adf53c |
| work_keys_str_mv | AT miaocai photonicindistinguishabilitycharacterizationandoptimizationforcavitybasedsinglephotonsource AT mingyuanchen photonicindistinguishabilitycharacterizationandoptimizationforcavitybasedsinglephotonsource AT jiangshantang photonicindistinguishabilitycharacterizationandoptimizationforcavitybasedsinglephotonsource AT keyuxia photonicindistinguishabilitycharacterizationandoptimizationforcavitybasedsinglephotonsource |