论文标题
微腔中光的非马克维亚随机共振
Non-Markovian Stochastic Resonance of Light in a Microcavity
论文作者
论文摘要
我们报告了非马克维亚随机共振的第一个观察结果，即具有记忆的系统中周期性信号的噪声辅助放大。我们的系统是一种充满油的光腔，由连续波激光器驱动，具有其非线性光学响应的内存。通过在向驱动激光器添加噪声的同时调节空腔长度，我们观察到传输的信噪比的峰值作为噪声方差的函数。我们的实验观察结果是通过数值模拟复制的，这进一步揭示了随机共振带宽会因非线性的记忆时间增大。可用于噪声辅助放大的频率范围在我们的油填充腔中的$ 10^8 $倍，比在Kerr非线性腔中高。我们的结果为探索油填充的腔阵列中的非线性，噪声和记忆的相互作用铺平了道路，在该型号阵列中，非马克维亚动力学可以增强噪声辅助的传输和同步效应。
We report the first observation of non-Markovian stochastic resonance, i.e., noise-assisted amplification of a periodic signal in a system with memory. Our system is an oil-filled optical microcavity which, driven by a continuous wave laser, has memory in its nonlinear optical response. By modulating the cavity length while adding noise to the driving laser, we observe a peak in the transmitted signal-to-noise ratio as a function of the noise variance. Our experimental observations are reproduced by numerical simulations, which further reveal that the stochastic resonance bandwidth is enlarged by the memory time of the nonlinearity. This frequency range available for noise-assisted amplification is $10^8$ times greater in our oil-filled cavity than in a Kerr nonlinear cavity. Our results pave the way for exploring the interplay of nonlinearity, noise, and memory, in oil-filled cavity arrays, where non-Markovian dynamics could enhance noise-assisted transport and synchronization effects.
