Design and Optimization of a Photonic Crystal-Based All-Optical XOR Gate Using Machine Learning
Publish place: majlesi Journal of Electrical Engineering، Vol: 18، Issue: 1
Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_MJEE-18-1_001
تاریخ نمایه سازی: 9 اردیبهشت 1403
Abstract:
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 ۱ and the lowest power in the logical state of ۰. 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 ۰ and also for logic ۱ is obtained. The results show that the designed logic gate has high output power in logic ۱ and very low power in the logic ۰ state.
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Authors
Fariborz Parandin
Department of Electrical Engineering, Islamic Azad University, Kermanshah Branch, Kermanshah, Iran
Alireza Mohamadi
Department of Computer Engineering, Islamic Azad University, Kermanshah Branch, Kermanshah, Iran
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