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arXiv 2004.14126physics.opticsnlin.PS
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用循环神经网络预测光纤超快非线性动力学

Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network

Lauri Salmela, Nikolaos Tsipinakis, Alessandro Foi, Cyril Billet, John M. Dudley, Goëry Genty

摘要:

超短脉冲在光纤中的传输表现出复杂的非线性动力学特性,在高功率脉冲压缩和宽带超连续谱产生等领域有着重要的应用。然而,这种非线性演化敏感地依赖于输入脉冲和光纤特性,并且为了应用目的而优化传播需要基于非线性薛定谔型方程的概括的广泛的数值模拟。这对计算要求很高,并在使用数值技术实时设计和优化实验时产生了严重的瓶颈。在这里,我们提出了一个解决这个问题的方法,使用基于机器学习的范例来预测复杂的非线性传播的光纤与循环神经网络,绕过了直接数值解的一个执政的传播模型的需要。具体而言,我们展示了如何循环神经网络与长期短期记忆准确预测的时间和光谱演化的高阶孤子压缩和超连续谱的产生,仅从一个给定的变换限制输入脉冲强度分布。孤子压缩的情况下,与实验的比较显示出显着的协议在时间和频谱域。在光学中,我们的结果很容易适用于脉冲压缩和宽带光源的优化,更普遍地在物理学中,他们打开了新的视角,在所有的非线性薛定谔型系统的研究中的玻色-爱因斯坦凝聚体,等离子体物理和流体力学的研究。

英文摘要:

The propagation of ultrashort pulses in optical fibre displays complex nonlinear dynamics that find important applications in fields such as high power pulse compression and broadband supercontinuum generation. Such nonlinear evolution however, depends sensitively on both the input pulse and fibre characteristics, and optimizing propagation for application purposes requires extensive numerical simulations based on generalizations of a nonlinear Schrödinger-type equation. This is computationally-demanding and creates a severe bottleneck in using numerical techniques to design and optimize experiments in real-time. Here, we present a solution to this problem using a machine-learning based paradigm to predict complex nonlinear propagation in optical fibres with a recurrent neural network, bypassing the need for direct numerical solution of a governing propagation model. Specifically, we show how a recurrent neural network with long short-term memory accurately predicts the temporal and spectral evolution of higher-order soliton compression and supercontinuum generation, solely from a given transform-limited input pulse intensity profile. Comparison with experiments for the case of soliton compression shows remarkable agreement in both temporal and spectral domains. In optics, our results apply readily to the optimization of pulse compression and broadband light sources, and more generally in physics, they open up new perspectives for studies in all nonlinear Schrödinger-type systems in studies of Bose-Einstein condensates, plasma physics, and hydrodynamics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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