Time-domain image processing using photonic reservoir computing
Photonic computing has attracted much attention due to its great potential to accelerate artificial neural network operations. However, the processing of a large amount of data, such as image data, basically requires large-scale photonic circuits and is still challenging due to its low scalability o...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
|
| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2023/13/epjconf_eosam2023_13007.pdf |
| _version_ | 1797634865010573312 |
|---|---|
| author | Sunada Satoshi Yamaguchi Tomoya |
| author_facet | Sunada Satoshi Yamaguchi Tomoya |
| author_sort | Sunada Satoshi |
| collection | DOAJ |
| description | Photonic computing has attracted much attention due to its great potential to accelerate artificial neural network operations. However, the processing of a large amount of data, such as image data, basically requires large-scale photonic circuits and is still challenging due to its low scalability of the photonic integration. Here, we propose a scalable image processing approach, which uses a temporal degree of freedom of photons. In the proposed approach, the spatial information of a target object is compressively transformed to a time-domain signal using a gigahertz-rate random pattern projection technique. The time-domain signal is optically acquired at a single-input channel and processed with a microcavity-based photonic reservoir computer. We experimentally demonstrate that this photonic approach is capable of image recognition at gigahertz rates. |
| first_indexed | 2024-03-11T12:13:17Z |
| format | Article |
| id | doaj.art-00018daa0fa14c6c90fab395ada0910f |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-03-11T12:13:17Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-00018daa0fa14c6c90fab395ada0910f2023-11-07T10:20:29ZengEDP SciencesEPJ Web of Conferences2100-014X2023-01-012871300710.1051/epjconf/202328713007epjconf_eosam2023_13007Time-domain image processing using photonic reservoir computingSunada Satoshi0Yamaguchi Tomoya1Institute of Science and Engineering, Kanazawa University Kakuma-machi KanazawaGraduate School of Natural Science and Technology, Kanazawa UniversityPhotonic computing has attracted much attention due to its great potential to accelerate artificial neural network operations. However, the processing of a large amount of data, such as image data, basically requires large-scale photonic circuits and is still challenging due to its low scalability of the photonic integration. Here, we propose a scalable image processing approach, which uses a temporal degree of freedom of photons. In the proposed approach, the spatial information of a target object is compressively transformed to a time-domain signal using a gigahertz-rate random pattern projection technique. The time-domain signal is optically acquired at a single-input channel and processed with a microcavity-based photonic reservoir computer. We experimentally demonstrate that this photonic approach is capable of image recognition at gigahertz rates.https://www.epj-conferences.org/articles/epjconf/pdf/2023/13/epjconf_eosam2023_13007.pdf |
| spellingShingle | Sunada Satoshi Yamaguchi Tomoya Time-domain image processing using photonic reservoir computing EPJ Web of Conferences |
| title | Time-domain image processing using photonic reservoir computing |
| title_full | Time-domain image processing using photonic reservoir computing |
| title_fullStr | Time-domain image processing using photonic reservoir computing |
| title_full_unstemmed | Time-domain image processing using photonic reservoir computing |
| title_short | Time-domain image processing using photonic reservoir computing |
| title_sort | time domain image processing using photonic reservoir computing |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2023/13/epjconf_eosam2023_13007.pdf |
| work_keys_str_mv | AT sunadasatoshi timedomainimageprocessingusingphotonicreservoircomputing AT yamaguchitomoya timedomainimageprocessingusingphotonicreservoircomputing |