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Multipurpose silicon photonics signal processor core

Author

Listed:
  • Daniel Pérez

    (Universitat Politècnica de València)

  • Ivana Gasulla

    (Universitat Politècnica de València)

  • Lee Crudgington

    (University of Southampton)

  • David J. Thomson

    (University of Southampton)

  • Ali Z. Khokhar

    (University of Southampton)

  • Ke Li

    (University of Southampton)

  • Wei Cao

    (University of Southampton)

  • Goran Z. Mashanovich

    (University of Southampton
    School of Electrical Engineering, University of Belgrade)

  • José Capmany

    (Universitat Politècnica de València)

Abstract

Integrated photonics changes the scaling laws of information and communication systems offering architectural choices that combine photonics with electronics to optimize performance, power, footprint, and cost. Application-specific photonic integrated circuits, where particular circuits/chips are designed to optimally perform particular functionalities, require a considerable number of design and fabrication iterations leading to long development times. A different approach inspired by electronic Field Programmable Gate Arrays is the programmable photonic processor, where a common hardware implemented by a two-dimensional photonic waveguide mesh realizes different functionalities through programming. Here, we report the demonstration of such reconfigurable waveguide mesh in silicon. We demonstrate over 20 different functionalities with a simple seven hexagonal cell structure, which can be applied to different fields including communications, chemical and biomedical sensing, signal processing, multiprocessor networks, and quantum information systems. Our work is an important step toward this paradigm.

Suggested Citation

  • Daniel Pérez & Ivana Gasulla & Lee Crudgington & David J. Thomson & Ali Z. Khokhar & Ke Li & Wei Cao & Goran Z. Mashanovich & José Capmany, 2017. "Multipurpose silicon photonics signal processor core," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00714-1
    DOI: 10.1038/s41467-017-00714-1
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    Cited by:

    1. Berry, James & Mehta, Saurabh & Mukherjee, Priya & Ruebeck, Hannah & Shastry, Gauri Kartini, 2021. "Crowd-out in school-based health interventions: Evidence from India’s midday meals program," Journal of Public Economics, Elsevier, vol. 204(C).
    2. Jiaojiao Xu & Chuanjie Yan & Yangyang Su & Yong Liu, 2020. "Analysis of high-rise building safety detection methods based on big data and artificial intelligence," International Journal of Distributed Sensor Networks, , vol. 16(6), pages 15501477209, June.
    3. Chunxue Wang & Daming Zhang & Jian Yue & Xucheng Zhang & Hang Lin & Xiangyi Sun & Anqi Cui & Tong Zhang & Changming Chen & Teng Fei, 2023. "Dual-layer optical encryption fluorescent polymer waveguide chip based on optical pulse-code modulation technique," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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