Intelligent optoelectronic processor for orbital angular momentum spectrum measurement
Abstract Orbital angular momentum (OAM) detection underpins almost all aspects of vortex beams’ advances such as communication and quantum analogy. Conventional schemes are frustrated by low speed, complicated system, limited detection range. Here, we devise an intelligent processor composed of phot...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-02-01
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| Series: | PhotoniX |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43074-022-00079-9 |
| _version_ | 1797863669825011712 |
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| author | Hao Wang Ziyu Zhan Futai Hu Yuan Meng Zeqi Liu Xing Fu Qiang Liu |
| author_facet | Hao Wang Ziyu Zhan Futai Hu Yuan Meng Zeqi Liu Xing Fu Qiang Liu |
| author_sort | Hao Wang |
| collection | DOAJ |
| description | Abstract Orbital angular momentum (OAM) detection underpins almost all aspects of vortex beams’ advances such as communication and quantum analogy. Conventional schemes are frustrated by low speed, complicated system, limited detection range. Here, we devise an intelligent processor composed of photonic and electronic neurons for OAM spectrum measurement in a fast, accurate and direct manner. Specifically, optical layers extract invisible topological charge information from incoming light and a shallow electronic layer predicts the exact spectrum. The integration of optical-computing promises us a compact single-shot system with high speed and energy efficiency (optical operations / electronic operations ~ $${10}^{3}$$ 10 3 ), neither necessitating reference wave nor repetitive steps. Importantly, our processor is endowed with salient generalization ability and robustness against diverse structured light and adverse effects (mean squared error ~ $$10^{(-5)}$$ 10 ( - 5 ) ). We further raise a universal model interpretation paradigm to reveal the underlying physical mechanisms in the hybrid processor, as distinct from conventional ‘black-box’ networks. Such interpretation algorithm can improve the detection efficiency up to 25-fold. We also complete the theory of optoelectronic network enabling its efficient training. This work not only contributes to the explorations on OAM physics and applications, and also broadly inspires the advanced links between intelligent computing and physical effects. |
| first_indexed | 2024-04-09T22:39:13Z |
| format | Article |
| id | doaj.art-4c62796c11ed46ae94d8a639ff9b112d |
| institution | Directory Open Access Journal |
| issn | 2662-1991 |
| language | English |
| last_indexed | 2024-04-09T22:39:13Z |
| publishDate | 2023-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | PhotoniX |
| spelling | doaj.art-4c62796c11ed46ae94d8a639ff9b112d2023-03-22T12:17:04ZengSpringerOpenPhotoniX2662-19912023-02-014112110.1186/s43074-022-00079-9Intelligent optoelectronic processor for orbital angular momentum spectrum measurementHao Wang0Ziyu Zhan1Futai Hu2Yuan Meng3Zeqi Liu4Xing Fu5Qiang Liu6State Key Laboratory of Precision Measurement of Technology and Instruments, Department of Precision Instrument, Tsinghua UniversityState Key Laboratory of Precision Measurement of Technology and Instruments, Department of Precision Instrument, Tsinghua UniversityState Key Laboratory of Precision Measurement of Technology and Instruments, Department of Precision Instrument, Tsinghua UniversityState Key Laboratory of Precision Measurement of Technology and Instruments, Department of Precision Instrument, Tsinghua UniversityState Key Laboratory of Precision Measurement of Technology and Instruments, Department of Precision Instrument, Tsinghua UniversityState Key Laboratory of Precision Measurement of Technology and Instruments, Department of Precision Instrument, Tsinghua UniversityState Key Laboratory of Precision Measurement of Technology and Instruments, Department of Precision Instrument, Tsinghua UniversityAbstract Orbital angular momentum (OAM) detection underpins almost all aspects of vortex beams’ advances such as communication and quantum analogy. Conventional schemes are frustrated by low speed, complicated system, limited detection range. Here, we devise an intelligent processor composed of photonic and electronic neurons for OAM spectrum measurement in a fast, accurate and direct manner. Specifically, optical layers extract invisible topological charge information from incoming light and a shallow electronic layer predicts the exact spectrum. The integration of optical-computing promises us a compact single-shot system with high speed and energy efficiency (optical operations / electronic operations ~ $${10}^{3}$$ 10 3 ), neither necessitating reference wave nor repetitive steps. Importantly, our processor is endowed with salient generalization ability and robustness against diverse structured light and adverse effects (mean squared error ~ $$10^{(-5)}$$ 10 ( - 5 ) ). We further raise a universal model interpretation paradigm to reveal the underlying physical mechanisms in the hybrid processor, as distinct from conventional ‘black-box’ networks. Such interpretation algorithm can improve the detection efficiency up to 25-fold. We also complete the theory of optoelectronic network enabling its efficient training. This work not only contributes to the explorations on OAM physics and applications, and also broadly inspires the advanced links between intelligent computing and physical effects.https://doi.org/10.1186/s43074-022-00079-9Orbital angular momentum spectrumDeep learningOptoelectronic neural networksOptical computingDiffractive deep neural networks |
| spellingShingle | Hao Wang Ziyu Zhan Futai Hu Yuan Meng Zeqi Liu Xing Fu Qiang Liu Intelligent optoelectronic processor for orbital angular momentum spectrum measurement PhotoniX Orbital angular momentum spectrum Deep learning Optoelectronic neural networks Optical computing Diffractive deep neural networks |
| title | Intelligent optoelectronic processor for orbital angular momentum spectrum measurement |
| title_full | Intelligent optoelectronic processor for orbital angular momentum spectrum measurement |
| title_fullStr | Intelligent optoelectronic processor for orbital angular momentum spectrum measurement |
| title_full_unstemmed | Intelligent optoelectronic processor for orbital angular momentum spectrum measurement |
| title_short | Intelligent optoelectronic processor for orbital angular momentum spectrum measurement |
| title_sort | intelligent optoelectronic processor for orbital angular momentum spectrum measurement |
| topic | Orbital angular momentum spectrum Deep learning Optoelectronic neural networks Optical computing Diffractive deep neural networks |
| url | https://doi.org/10.1186/s43074-022-00079-9 |
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