在二维光子晶体中使用ANN和PSO的光学XOR逻辑门设计
Farsad Heidari1, Delir Pashabadi1, Mohammad Fathi2
1Department of Electrical Engineering, University of Kurdistan, Sanandaj, Iran.
Scientific reports
|July 21, 2025
概括
这项研究引入了一种使用光子晶体 (PC) 的全光学XOR门,并通过人工神经网络 (ANN) 和粒子群优化 (PSO) 进行了优化. 这一进步承诺更快,并行光学计算和逻辑应用.
科学领域:
- 光子学是指光子学的使用方法.
- 光学计算是指光学计算.
- 材料科学 材料科学 材料科学
背景情况:
- 全光学逻辑门对于高速光学计算至关重要.
- 光子晶体 (PC) 为集成光学设备提供了一个有前途的平台.
- 基于PC的设备的优化对于实际应用至关重要.
研究的目的:
- 使用二维光子晶体设计和优化一个全光学XOR门.
- 为了提高性能,利用人工神经网络 (ANN) 和粒子群集优化 (PSO).
- 为复杂的光学计算系统展示一个可行的策略.
主要方法:
- 使用有限差异时间域 (FDTD) 方法生成555个样本的数据集.
- 使用人工神经网络 (ANN) 来模拟 XOR 门的行为.
- 应用粒子群集优化 (PSO) 来优化关键设计参数,如晶格常数和杆半径.
主要成果:
- 实现了一个优化的全光学XOR门结构.
- 对逻辑状态的0 (0),0.995 (1),0.935 (1) 和0.015 (0) 的证明输出功率.
- 获得的对比率为17.947dB,表明可接受的性能.
结论:
- ANN-PSO方法有效地优化光子晶体设计,以提高性能.
- 开发的全光学XOR门显示了先进光学计算和逻辑应用的潜力.
- 这项工作为开发高效和复杂的光子计算系统提供了一个有前途的战略.
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