Deep learning of ultrafast pulses with a multimode fiber
Deep learning of ultrafast pulses with a multimode fiber
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DOI：
10.1063/5.0007037
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发表时间：
2019-11
期刊：
影响因子：
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通讯作者：
Wen Xiong;B. Redding;S. Gertler;Y. Bromberg;H. Tagare;H. Cao
中科院分区：
文献类型：
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作者：
Wen Xiong;B. Redding;S. Gertler;Y. Bromberg;H. Tagare;H. Cao
表征超短光脉冲一直是一项关键而又困难的任务，具有广泛的应用前景。我们提出并演示了一种用多模光纤表征超快脉冲的自参考方法。利用多模光纤远端形成的线性和非线性散斑图来恢复未知脉冲的光谱幅度和相位。我们部署了一种深度学习算法用于相位恢复。多模光纤中空间和光谱模式的多样性消除了恢复光谱相位符号中的任何模糊性。我们的技术允许在一个简单的实验装置中进行单次脉冲表征。这项工作揭示了多模光纤作为一种多用途和多功能光传感平台的潜力。
Characterizing ultrashort optical pulses has always been a critical but difficult task, which has a broad range of applications. We propose and demonstrate a self-referenced method of characterizing ultrafast pulses with a multimode fiber. The linear and nonlinear speckle patterns formed at the distal end of a multimode fiber are used to recover the spectral amplitude and phase of an unknown pulse. We deploy a deep learning algorithm for phase recovery. The diversity of spatial and spectral modes in a multimode fiber removes any ambiguity in the sign of the recovered spectral phase. Our technique allows for single-shot pulse characterization in a simple experimental setup. This work reveals the potential of multimode fibers as a versatile and multi-functional platform for optical sensing.