Spectral Hong–Ou–Mandel Interference between Independently Generated Single Photons for Scalable Frequency-Domain Quantum Processing

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Khodadad Kashi, A.; Kues, M.: Spectral Hong–Ou–Mandel Interference between Independently Generated Single Photons for Scalable Frequency-Domain Quantum Processing. In: Laser and Photonics Reviews 15 (2021), Nr. 5, 2000464. DOI: https://doi.org/10.1002/lpor.202000464

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Sum total of downloads: 66




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Abstract: 
The photon's frequency degree of freedom, being compatible with mature telecom infrastructure, offers large potential for the stable and controllable realization of photonic quantum processing applications such as the quantum internet. The Hong–Ou–Mandel effect, as a two-photon interference phenomenon, serves as a central building block for such frameworks. A key element yet missing to enable meaningful frequency-based implementations as well as scalability in the number of processed photons, is the demonstration of the Hong–Ou–Mandel effect between independently created photons of different frequencies. The experimental implementation of bosonic and fermionic frequency domain Hong–Ou–Mandel interference between independently generated single photons is reported here, with measured visibilities of 74.31% ± 3.56% and 86.44% ± 8.27%, respectively. This is achieved through a scalable photonic frequency circuit that creates two post-selected pure single photons, which undergo frequency mixing at an electro-optic phase modulator. The system is on-the-fly reconfigurable allowing to probe bosonic and fermionic Hong–Ou–Mandel interference in the same experimental setup. The work demonstrates the versatility of frequency domain processing and its scalability toward higher photon numbers, which enables new quantum gate concepts as well as the establishment of frequency-based large-scale quantum networks. © 2021 The Authors. Laser & Photonics Reviews published by Wiley-VCH GmbH
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 25 37.88%
2 image of flag of United States United States 20 30.30%
3 image of flag of China China 6 9.09%
4 image of flag of United Kingdom United Kingdom 3 4.55%
5 image of flag of France France 3 4.55%
6 image of flag of Netherlands Netherlands 2 3.03%
7 image of flag of Europe Europe 2 3.03%
8 image of flag of Taiwan Taiwan 1 1.52%
9 image of flag of India India 1 1.52%
10 image of flag of Switzerland Switzerland 1 1.52%
    other countries 2 3.03%

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