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Digital optical processing of optical communications: towards an Optical Turing Machine

Touch Joe et al · Wiley · 2017

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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.

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APA 7

al, T. J. E. (2017). Digital optical processing of optical communications: towards an Optical Turing Machine. https://doi.org/10.1515/nanoph-2016-0145

MLA

al, Touch Joe et. "Digital optical processing of optical communications: towards an Optical Turing Machine." 2017. https://doi.org/10.1515/nanoph-2016-0145.

Chicago

al, Touch Joe et. 2017. "Digital optical processing of optical communications: towards an Optical Turing Machine.". https://doi.org/10.1515/nanoph-2016-0145.

Harvard

al, T. J. E. 2017, Digital optical processing of optical communications: towards an Optical Turing Machine, Wiley, available at: https://doi.org/10.1515/nanoph-2016-0145 [Accessed 5 Aug. 2026].

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Title
Digital optical processing of optical communications: towards an Optical Turing Machine
Author / contributors
Touch Joe et al
Publisher
Wiley
Publication year
2017
ISSN
2192-8606
ISSN
2192-8606
Language
English

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