概括
我们使用VCSEL激光器开发了一种光子时间延迟储计算系统. 该系统显示了改进的并行处理,特别是并行偏振反,用于诸如时间序列预测等任务.
科学领域:
- 光电学是指光电子产品.
- 非线性动力学是一种非线性动力学.
- 机器学习硬件 机器学习硬件
背景情况:
- 储计算通过利用复杂的动态系统,为机器学习提供了一种新的方法.
- 光子实现,特别是那些基于垂直腔表面发射激光器 (VCSEL) 的实现,对高速计算具有前景.
- 提高这些系统中的并行任务处理能力仍然是关键的研究挑战.
研究的目的:
- 提出和数值演示一个光子时间延迟储计算 (TDRC) 系统.
- 研究不同光学反极化状态对并行任务处理性能的影响.
- 分析关键系统参数对TDRC计算能力的影响.
主要方法:
- 一个VCSEL受到光学注射和随机分布的光学反被用作储存器.
- 实施了两个不同的随机反结构:直角偏振光学反 (OPOF) 和并行偏振光学反 (PPOF).
- 使用基准任务来评估系统的性能:混乱时间序列预测和波形识别.
主要成果:
- 拟议的TDRC系统展示了增强的并行任务处理,特别是与PPOF结构,由于随机反的非线性增加.
- 与PPOF相比,OPOF结构显示了潜在的业绩恶化.
- 系统分析了注射强度,反强度,电流和虚拟节点数量对TDRC性能的影响.
结论:
- 基于VCSEL的TDRC中的随机分布式光学反显著提高了并行任务处理能力.
- 光学反的极化状态极大地影响了系统性能,PPOF的性能优于OPOF.
- 这项研究为改进基于VCSEL的TDRC系统的并行计算提供了一条途径,通过极化复杂化.
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