首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:Digital optical processing of optical communications: towards an Optical Turing Machine
  • 本地全文:下载
  • 作者:Joe Touch ; Yinwen Cao ; Morteza Ziyadi
  • 期刊名称:Nanophotonics
  • 印刷版ISSN:2192-8606
  • 电子版ISSN:2192-8614
  • 出版年度:2017
  • 卷号:6
  • 期号:3
  • 页码:507-530
  • DOI:10.1515/nanoph-2016-0145
  • 出版社:Walter de Gruyter GmbH
  • 摘要:

    Optical computing is needed to support Tb/s in-network processing in a way that unifies communication and computation using a single data representation that supports in-transit network packet processing, security, and big data filtering. Support for optical computation of this sort requires leveraging the native properties of optical wave mixing to enable computation and switching for programmability. As a consequence, data must be encoded digitally as phase (M-PSK), semantics-preserving regeneration is the key to high-order computation, and data processing at Tb/s rates requires mixing. Experiments have demonstrated viable approaches to phase squeezing and power restoration. This work led our team to develop the first serial, optical Internet hop-count decrement, and to design and simulate optical circuits for calculating the Internet checksum and multiplexing Internet packets. The current exploration focuses on limited-lookback computational models to reduce the need for permanent storage and hybrid nanophotonic circuits that combine phase-aligned comb sources, non-linear mixing, and switching on the same substrate to avoid the macroscopic effects that hamper benchtop prototypes.

  • 关键词:digital optics ; non-linear processing ; optical computing ; wave mixing
国家哲学社会科学文献中心版权所有