Design and Optimization of a Photonic Crystal-Based All-Optical XOR Gate Using Machine Learning
In this article, a two-dimensional photonic crystal-based XOR gate is designed and simulated. For this purpose, an initial two-dimensional photonic crystal structure is chosen and waveguides are created for inputs and outputs. Then, defect rods are selected so that the obtained outputs are approxima...
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| Format: | Article |
| Language: | English |
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OICC Press
2024-03-01
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| Series: | Majlesi Journal of Electrical Engineering |
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| Online Access: | https://oiccpress.com/mjee/article/view/5036 |
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| author | Fariborz Parandin Alireza Mohamadi |
| author_facet | Fariborz Parandin Alireza Mohamadi |
| author_sort | Fariborz Parandin |
| collection | DOAJ |
| description | In this article, a two-dimensional photonic crystal-based XOR gate is designed and simulated. For this purpose, an initial two-dimensional photonic crystal structure is chosen and waveguides are created for inputs and outputs. Then, defect rods are selected so that the obtained outputs are approximately consistent with the XOR gate truth table. After that, we will be looking for the best output so that the highest optical power is created for logic 1 and the lowest power in the logical state of 0. For this reason, the simulation is performed for four defect rods and the output is obtained for different the radius of the rods. Then, using the K-Nearest Neighbors algorithm, which is a machine learning algorithm, the best output for logic 0 and also for logic 1 is obtained. The results show that the designed logic gate has high output power in logic 1 and very low power in the logic 0 state.
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| format | Article |
| id | doaj-art-55d3e2b522ed4e81a10e2d32e8bd1de5 |
| institution | Kabale University |
| issn | 2345-377X 2345-3796 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | OICC Press |
| record_format | Article |
| series | Majlesi Journal of Electrical Engineering |
| spelling | doaj-art-55d3e2b522ed4e81a10e2d32e8bd1de52025-08-20T03:33:39ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962024-03-0118110.30486/mjee.2023.1984121.1111Design and Optimization of a Photonic Crystal-Based All-Optical XOR Gate Using Machine LearningFariborz ParandinAlireza MohamadiIn this article, a two-dimensional photonic crystal-based XOR gate is designed and simulated. For this purpose, an initial two-dimensional photonic crystal structure is chosen and waveguides are created for inputs and outputs. Then, defect rods are selected so that the obtained outputs are approximately consistent with the XOR gate truth table. After that, we will be looking for the best output so that the highest optical power is created for logic 1 and the lowest power in the logical state of 0. For this reason, the simulation is performed for four defect rods and the output is obtained for different the radius of the rods. Then, using the K-Nearest Neighbors algorithm, which is a machine learning algorithm, the best output for logic 0 and also for logic 1 is obtained. The results show that the designed logic gate has high output power in logic 1 and very low power in the logic 0 state. https://oiccpress.com/mjee/article/view/5036K-Nearest NeighborsOptical XOR gatePhotonic BandgapPhotonic Crystal |
| spellingShingle | Fariborz Parandin Alireza Mohamadi Design and Optimization of a Photonic Crystal-Based All-Optical XOR Gate Using Machine Learning Majlesi Journal of Electrical Engineering K-Nearest Neighbors Optical XOR gate Photonic Bandgap Photonic Crystal |
| title | Design and Optimization of a Photonic Crystal-Based All-Optical XOR Gate Using Machine Learning |
| title_full | Design and Optimization of a Photonic Crystal-Based All-Optical XOR Gate Using Machine Learning |
| title_fullStr | Design and Optimization of a Photonic Crystal-Based All-Optical XOR Gate Using Machine Learning |
| title_full_unstemmed | Design and Optimization of a Photonic Crystal-Based All-Optical XOR Gate Using Machine Learning |
| title_short | Design and Optimization of a Photonic Crystal-Based All-Optical XOR Gate Using Machine Learning |
| title_sort | design and optimization of a photonic crystal based all optical xor gate using machine learning |
| topic | K-Nearest Neighbors Optical XOR gate Photonic Bandgap Photonic Crystal |
| url | https://oiccpress.com/mjee/article/view/5036 |
| work_keys_str_mv | AT fariborzparandin designandoptimizationofaphotoniccrystalbasedallopticalxorgateusingmachinelearning AT alirezamohamadi designandoptimizationofaphotoniccrystalbasedallopticalxorgateusingmachinelearning |