All-optical digital-to-spike conversion using a graphene excitable laser
All-optical digital-to-spike conversion using a graphene excitable laser
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DOI：
10.1364/oe.25.033504
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发表时间：
2017-12-25
期刊：
影响因子：
3.8
通讯作者：
Prucnal, Paul R.
中科院分区：
文献类型：
--
作者：
Ma, Philip Y.;Shastri, Bhavin J.;Prucnal, Paul R.
神经形态（大脑启发）光子系统处理编码在光脉冲中的信息，即，在时间上是模拟的但在幅度上是数字的“尖峰”。应用这些系统处理常用的数字数据需要一个简单而有效的接口解决方案，将二进制数字转换为光域中的尖峰序列。激光系统提供了各种有用的非线性功能，包括可在神经元的时间分辨“尖峰”中发现的可激发动力学。我们提出并证明，在数值和实验上，一个全光的数字到尖峰（DSPs）转换方案，使用一个单一的石墨烯可激发激光器（GEL）没有时钟信号同步。本文首先基于集成GEL的仿真平台研究了光码转换机制，实现了10 Gbps的光码转换速率。我们的PWM转换方案可以在灵活的输入功率条件下工作，并具有很强的逻辑级恢复能力。然后，我们通过原理验证实验验证了我们的方法的可行性，其中基于光纤的GEL获得了40 Kbps的模数转换速率，以及10（-9）的误码率（BER），输入功率为-24 dBm。这种技术可以潜在地应用于未来的神经形态光子系统的信息处理和计算。(C)根据OSA开放获取出版协议的条款，2017年美国光学学会
Neuromorphic (brain-inspired) photonic systems process information encoded in the pulses of light, i.e., "spikes" that are analog in time but digital in amplitude. Applying these systems to process commonly used digital data requires a simple and effective interfacing solution to converting binary digits into spike sequence in the optical domain. Laser systems offer a variety of useful nonlinear functionalities, including excitable dynamics that can be found in the time-resolved "spiking" of neurons. We propose and demonstrate, both numerically and experimentally, an all-optical digital-to-spike (DTS) conversion scheme using a single graphene excitable laser (GEL) without clock signal synchronization. We first study the DTS conversion mechanism based on the simulation platform of an integrated GEL, which achieve a DTS conversion rate up to 10 Gbps. Our DTS conversion scheme can be operated under flexible input power conditions and exhibits a strong logic-level restoration capability. We then verify the feasibility of our approach via a proof-of-principle experiment where a fiber-based GEL obtains a DTS conversion rate of 40 Kbps, and a bit error rate (BER) of 10(-9) with an input power of -24 dBm. This technology can be potentially applied in future neuromorphic photonic systems for information processing and computing. (C) 2017 Optical Society of America under the terms of the OSA Open Access Publishing Agreement