Non-orthogonal optical multiplexing empowered by deep learning Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1038/s41467-024-45845-4
Orthogonality among channels is a canonical basis for optical multiplexing featured with division multiplexing, which substantially reduce the complexity of signal post-processing in demultiplexing. However, it inevitably imposes an upper limit of capacity for multiplexing. Herein, we report on non-orthogonal optical multiplexing over a multimode fiber (MMF) leveraged by a deep neural network, termed speckle light field retrieval network (SLRnet), where it can learn the complicated mapping relation between multiple non-orthogonal input light field encoded with information and their corresponding single intensity output. As a proof-of-principle experimental demonstration, it is shown that the SLRnet can effectively solve the ill-posed problem of non-orthogonal optical multiplexing over an MMF, where multiple non-orthogonal input signals mediated by the same polarization, wavelength and spatial position can be explicitly retrieved utilizing a single-shot speckle output with fidelity as high as ~ 98%. Our results resemble an important step for harnessing non-orthogonal channels for high capacity optical multiplexing.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41467-024-45845-4
- https://www.nature.com/articles/s41467-024-45845-4.pdf
- OA Status
- gold
- Cited By
- 18
- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W4391996966
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391996966Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41467-024-45845-4Digital Object Identifier
- Title
-
Non-orthogonal optical multiplexing empowered by deep learningWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-21Full publication date if available
- Authors
-
Tuqiang Pan, jianwei Ye, Haotian Liu, Fan Zhang, Pengbai Xu, Ou Xu, Yi Xu, Yuwen QinList of authors in order
- Landing page
-
https://doi.org/10.1038/s41467-024-45845-4Publisher landing page
- PDF URL
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https://www.nature.com/articles/s41467-024-45845-4.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.nature.com/articles/s41467-024-45845-4.pdfDirect OA link when available
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Multiplexing, Computer science, Deep learning, Telecommunications, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
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18Total citation count in OpenAlex
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2025: 14, 2024: 4Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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