Expanding detection bandwidth via a photonic reservoir for ultrafast optical sensing
Yuito Ito, Tomoaki Niiyama, Tetsuya Asai, Gouhei Tanaka, Atsushi Uchida, and Satoshi Sunada
超快光和射频(RF)信号的检测对于从高速通信到高级传感等应用至关重要。 然而,传统探测器从根本上受到其内在带宽的限制,限制了精确的宽带信号测量。 在这里,我们展示了一种神经形态光子处理方法可以克服这一限制,从而实现超越探测器带宽的精确宽带信号检测。 关键思想在于光子储层网络中输入波形的时空编码,该编码重建单个探测器无法访问的高频组件。 我们通过实验演示了高速光相信号的检测,使用片上硅光子学库的有效带宽扩展超过8倍。 这种方法为高速光和射频信号处理提供了一个可扩展和可集成的平台,为超快光子学和下一代通信系统开辟了新的机会。
The detection of ultrafast optical and radio-frequency (RF) signals is crucial for applications ranging from high-speed communications to advanced sensing. However, conventional detectors are fundamentally constrained by their intrinsic bandwidth, limiting accurate broadband signal measurement. Here, we show that a neuromorphic photonic processing approach can overcome this limitation, enabling accurate broadband signal detection beyond the detector bandwidth. The key idea lies in the spatiotemp...