On chip optical neural networks based on MMI microring resonators for image classification
We propose a new on-chip optical neural network (OONN) based on multimode interference-microring resonators (MMI-RRs). The suggested structure eliminates the need for wavelength division multiplexers (WDM) to create an optical neuron on a single chip. New microring resonator structure based on 4×4 M...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Samara National Research University
2023-08-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | https://computeroptics.ru/eng/KO/Annot/KO47-4/470410e.html |
| _version_ | 1827385340451618816 |
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| author | T.T. Bui D.T. Le T.H.L. Nguyen T.T. Le |
| author_facet | T.T. Bui D.T. Le T.H.L. Nguyen T.T. Le |
| author_sort | T.T. Bui |
| collection | DOAJ |
| description | We propose a new on-chip optical neural network (OONN) based on multimode interference-microring resonators (MMI-RRs). The suggested structure eliminates the need for wavelength division multiplexers (WDM) to create an optical neuron on a single chip. New microring resonator structure based on 4×4 MMI coupler with a size of 24µm × 2900 µm is used for the basic elements of the computation matrix, as a result a higher bandwidth and free spectral range (FSR) can be achieved. The Si3N4 platform along with the graphene sheet is designed to modulate the signals and weights of the neural networks at a very high speed. The Si3N4 can provide wide range of operating wavelengths and can work directly with the wavelengths of color images. The structure's benefits include rapid computing speed, little loss, and the ability to handle both positive and negative values. The OONN has been applied to the MNIST dataset with a speed faster than 2.8 to 14x times compared with the conventional GPU methods. |
| first_indexed | 2024-03-08T15:26:01Z |
| format | Article |
| id | doaj.art-ed60caad2be24645b85b712e2cfa2c7c |
| institution | Directory Open Access Journal |
| issn | 0134-2452 2412-6179 |
| language | English |
| last_indexed | 2024-03-08T15:26:01Z |
| publishDate | 2023-08-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj.art-ed60caad2be24645b85b712e2cfa2c7c2024-01-10T10:24:38ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792023-08-0147458859510.18287/2412-6179-CO-1211On chip optical neural networks based on MMI microring resonators for image classificationT.T. Bui0D.T. Le1T.H.L. Nguyen2T.T. Le3FPT University Hoa Lac High Tech ParkInternational School (VNU-IS), Vietnam National University (VNU)-HanoiHanoi University of Natural Resources and EnvironmentInternational School (VNU-IS), Vietnam National University (VNU)-HanoiWe propose a new on-chip optical neural network (OONN) based on multimode interference-microring resonators (MMI-RRs). The suggested structure eliminates the need for wavelength division multiplexers (WDM) to create an optical neuron on a single chip. New microring resonator structure based on 4×4 MMI coupler with a size of 24µm × 2900 µm is used for the basic elements of the computation matrix, as a result a higher bandwidth and free spectral range (FSR) can be achieved. The Si3N4 platform along with the graphene sheet is designed to modulate the signals and weights of the neural networks at a very high speed. The Si3N4 can provide wide range of operating wavelengths and can work directly with the wavelengths of color images. The structure's benefits include rapid computing speed, little loss, and the ability to handle both positive and negative values. The OONN has been applied to the MNIST dataset with a speed faster than 2.8 to 14x times compared with the conventional GPU methods.https://computeroptics.ru/eng/KO/Annot/KO47-4/470410e.htmlall-optical dot productimage processingmultimode interference coupleroptical convolutional neural networksoptical signal processingmicroring resonatorssilicon photonics |
| spellingShingle | T.T. Bui D.T. Le T.H.L. Nguyen T.T. Le On chip optical neural networks based on MMI microring resonators for image classification Компьютерная оптика all-optical dot product image processing multimode interference coupler optical convolutional neural networks optical signal processing microring resonators silicon photonics |
| title | On chip optical neural networks based on MMI microring resonators for image classification |
| title_full | On chip optical neural networks based on MMI microring resonators for image classification |
| title_fullStr | On chip optical neural networks based on MMI microring resonators for image classification |
| title_full_unstemmed | On chip optical neural networks based on MMI microring resonators for image classification |
| title_short | On chip optical neural networks based on MMI microring resonators for image classification |
| title_sort | on chip optical neural networks based on mmi microring resonators for image classification |
| topic | all-optical dot product image processing multimode interference coupler optical convolutional neural networks optical signal processing microring resonators silicon photonics |
| url | https://computeroptics.ru/eng/KO/Annot/KO47-4/470410e.html |
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