Prospects and applications of photonic neural networks

IF 7.7 2区物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY

Advances in Physics: X Pub Date : 2021-05-20 DOI:10.1080/23746149.2021.1981155

Chaoran Huang, V. Sorger, M. Miscuglio, M. Al-Qadasi, Avilash Mukherjee, S. Shekhar, L. Chrostowski, L. Lampe, Mitchell Nichols, M. Fok, D. Brunner, A. Tait, T. F. D. Lima, B. Marquez, P. Prucnal, B. Shastri

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引用次数: 63

Abstract

ABSTRACT Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on conventional computers that have separate memory and processor (and that operate sequentially) are limited in speed and energy efficiency. Neuromorphic engineering aims to build processors in which hardware mimics neurons and synapses in the brain for distributed and parallel processing. Neuromorphic engineering enabled by photonics (optical physics) can offer sub-nanosecond latencies and high bandwidth with low energies to extend the domain of artificial intelligence and neuromorphic computing applications to machine learning acceleration, nonlinear programming, intelligent signal processing, etc. Photonic neural networks have been demonstrated on integrated platforms and free-space optics depending on the class of applications being targeted. Here, we discuss the prospects and demonstrated applications of these photonic neural networks. Graphical Abstract

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光子神经网络的展望与应用

神经网络通过机器学习和神经形态计算在人工智能中实现了应用。神经网络在传统计算机上的软件实现具有独立的存储器和处理器(并按顺序运行)，在速度和能源效率方面受到限制。神经形态工程旨在制造处理器，其中的硬件模仿大脑中的神经元和突触，以进行分布式和并行处理。光子神经网络已经在集成平台和自由空间光学上进行了演示，具体取决于所针对的应用类别。在这里，我们讨论了这些光子神经网络的前景和演示应用。图形抽象

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来源期刊

Advances in Physics: X Physics and Astronomy-General Physics and Astronomy

CiteScore

13.60

自引率

0.00%

发文量

审稿时长

13 weeks

期刊介绍： Advances in Physics: X is a fully open-access journal that promotes the centrality of physics and physical measurement to modern science and technology. Advances in Physics: X aims to demonstrate the interconnectivity of physics, meaning the intellectual relationships that exist between one branch of physics and another, as well as the influence of physics across (hence the “X”) traditional boundaries into other disciplines including: Chemistry Materials Science Engineering Biology Medicine