以類神經網路法設計光學邏輯閘;Study of Optical Neural Networks

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/96151

Title:	以類神經網路法設計光學邏輯閘;Study of Optical Neural Networks
Authors:	呂岳衡;Lu, Yueh-Heng
Contributors:	光電科學與工程學系
Keywords:	光學神經網絡;邏輯閘;光學元件;Optical neuron networks;Logic gate;Integrated optical device
Date:	2024-11-19
Issue Date:	2025-04-09 16:14:32 (UTC+8)
Publisher:	國立中央大學
Abstract:	在本研究中，我們的目標是使用光放大器、定向耦合器(Directional Coupler , DC)和相位調制器(Phase Modulator , PM)來建立全光學邏輯閘。透過改良的Reservoir Computing(RC) 計算，進行反矩陣以獲得定向耦合器的耦合比和相位調制器的相位延遲，成功展示了 OR、AND、XOR、NAND、NOR 和 XNOR 。此外，我們不僅研究系統在理想條件下的結果，還討論操作上僅有1%誤差的情況，以研究RC系統的誤差。透過我們的模擬結果，可以觀察到光學邏輯閘的visibility可以高達0.83。這些邏輯閘可以應用在矽晶片中以開發光學計算系統。;In this study, our goal is to build an all-optical logic gate using an optical amplifier, a directional coupler (DC), and a phase modulator (PM). Through the improved Reservoir Computing (RC) calculation, the inverse matrix was performed to obtain the coupling ratio of the directional coupler and the phase delay of the phase modulator, and OR, AND, XOR, NAND, NOR and XNOR were successfully demonstrated. Furthermore, we study the error of the RC system not only by studying the results of the system under ideal conditions, but also by discussing the case where the operation has only a 1% error. Through our simulation results, it can be observed that the visibility of the optical logic gate can be as high as 0.83. These logic gates can be used in silicon wafers to develop optical computing systems.
Appears in Collections:	[Graduate Institute of Optics and Photonics] Electronic Thesis & Dissertation

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