Neuromorphic computing through photonic integrated circuits
Neuromorphic computing through photonic integrated circuits
复制标题
通过光子集成电路进行神经形态计算
DOI：
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Nikos Pleros
中科院分区：
文献类型：
--
作者：
G. Mourgias;A. Totović;N. Passalis;G. Dabos;A. Tefas;Nikos Pleros
神经形态计算被认为是一种非常有前途的替代计算系统，因为它具有快速提高目前受摩尔定律限制的计算效率的潜力。 IBM 的 TrueNorth 和英特尔的 Loihi 等首款电子神经形态芯片在计算速度和密度方面显示出巨大的性能改进；然而，它们仍然以 MHz 速率运行。为此，神经形态光子集成电路可以进一步提高计算速度和密度，拥有大量具有 GHz 带宽和低能耗的组件。在这里，我们提出了一个全光学 sigmoid 激活函数以及一个单 λ 线性神经元。全光 sigmoid 激活函数包括以差分偏置方案配置的半导体光放大器-马赫曾德干涉仪 (SOA-MZI)，后跟 SOA。其阈值处理能力已通过 100 皮秒光脉冲进行实验证明。然后，我们引入了全光相位编码加权方案，并通过以 10Gbaud/s 运行的典型 IQ 调制器实验证明了其线性代数运算能力。
The identification of neuromorphic computing as a highly promising alternative computing system has been emerged from its potential to increase rapidly the computational efficiency that is currently restricted by Moore’s law end. First electronic neuromorphic chips like IBM’s TrueNorth and Intel’s Loihi revealed a tremendous performance improvement in terms of computational speed and density; however, they are still operating in MHz rates. To this end, neuromorphic photonic integrated circuits can further increase the computational speed and density, having a large portfolio of components with GHz-bandwidth and low-energy. Herein, we present an all-optical sigmoid activation function as well as a single-λ linear neuron. The all-optical sigmoid activation function comprises a Semiconductor Optical Amplifier-Mach-Zehnder Interferometer (SOA-MZI) configured in differentially-biased scheme followed by an SOA. Its thresholding capabilities have been experimentally demonstrated with 100psec optical pulses. Then, we introduce an all-optical phase-encoded weighting scheme and we experimentally demonstrate its linear algebra operational credentials by the means of a typical IQ modulator operated at 10Gbaud/s.
影响因子：
35
作者：
Shen, Yichen;Harris, Nicholas C.;Soljacic, Marin
通讯作者：
Soljacic, Marin
DOI：
10.1109/jstqe.2018.2840448
发表时间：
2018-11-01
影响因子：
4.9
作者：
Peng, Hsuan-Tung;Nahmias, Mitchell A.;Prucnal, Paul R.
通讯作者：
Prucnal, Paul R.