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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.14623 |
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| _version_ | 1866912552500330496 |
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| author | Rahmouni, Anouar Shrestha, Pranish Li-Baboud, YaShian Richards, Anne Marie Shi, Yicheng Merzouki, Mheni Ma, Lijun Migdal, Alan Battou, Abdella Slattery, Oliver Gerrits, Thomas |
| author_facet | Rahmouni, Anouar Shrestha, Pranish Li-Baboud, YaShian Richards, Anne Marie Shi, Yicheng Merzouki, Mheni Ma, Lijun Migdal, Alan Battou, Abdella Slattery, Oliver Gerrits, Thomas |
| contents | Optical crosstalk from sub-milliwatt classical-channel power into quantum channels presents a significant challenge in quantum network development, introducing substantial noise that limits the network's performance, scalability, and fidelity. Here we report a demonstration using photon counting optical time-domain reflectometry (ν-OTDR) to precisely identify and localize crosstalk between separate channels within the same fiber and between separate fibers. The coexistence of classical and quantum signals in the same network necessitates the use of optical switches for efficient routing and control. Crosstalk characterization of an optical switch reveals that crosstalk depends strongly on cross connect configuration, with higher levels observed when connections are presumed to be physically closer and lower levels when further apart. Additionally, we found that crosstalk exhibits a pronounced wavelength dependence, increasing over tenfold at longer wavelengths. These findings demonstrate the value of ν-OTDR in diagnosing and mitigating crosstalk in quantum networks. They highlight the importance of optimizing optical switch configurations and wavelength management to minimize noise, ultimately enhancing the scalability, fidelity, and overall performance of quantum networks. This work establishes a foundational approach to addressing crosstalk, paving the way for more robust and efficient quantum network designs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_14623 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Crosstalk Analysis in Quantum Networks: Detection and Localization Insights with photon counting OTDR Rahmouni, Anouar Shrestha, Pranish Li-Baboud, YaShian Richards, Anne Marie Shi, Yicheng Merzouki, Mheni Ma, Lijun Migdal, Alan Battou, Abdella Slattery, Oliver Gerrits, Thomas Quantum Physics Optical crosstalk from sub-milliwatt classical-channel power into quantum channels presents a significant challenge in quantum network development, introducing substantial noise that limits the network's performance, scalability, and fidelity. Here we report a demonstration using photon counting optical time-domain reflectometry (ν-OTDR) to precisely identify and localize crosstalk between separate channels within the same fiber and between separate fibers. The coexistence of classical and quantum signals in the same network necessitates the use of optical switches for efficient routing and control. Crosstalk characterization of an optical switch reveals that crosstalk depends strongly on cross connect configuration, with higher levels observed when connections are presumed to be physically closer and lower levels when further apart. Additionally, we found that crosstalk exhibits a pronounced wavelength dependence, increasing over tenfold at longer wavelengths. These findings demonstrate the value of ν-OTDR in diagnosing and mitigating crosstalk in quantum networks. They highlight the importance of optimizing optical switch configurations and wavelength management to minimize noise, ultimately enhancing the scalability, fidelity, and overall performance of quantum networks. This work establishes a foundational approach to addressing crosstalk, paving the way for more robust and efficient quantum network designs. |
| title | Crosstalk Analysis in Quantum Networks: Detection and Localization Insights with photon counting OTDR |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2502.14623 |