AI Article Synopsis

  • Biological computing systems, like the mammalian brain, typically process and store data in the same location, and researchers are moving towards new computing designs beyond the traditional von Neumann architecture.
  • Integrated photonic circuits offer a fast, efficient solution for on-chip computing by using light instead of electricity, which eliminates the need for converting signals from electrical to optical.
  • The study demonstrates the use of nonvolatile photonic components made from GeSbTe material to perform direct computations, such as scalar and matrix-vector multiplication, leading to a groundbreaking, easy-to-manufacture all-photonic computing system.

Article Abstract

Collocated data processing and storage are the norm in biological computing systems such as the mammalian brain. As our ability to create better hardware improves, new computational paradigms are being explored beyond von Neumann architectures. Integrated photonic circuits are an attractive solution for on-chip computing which can leverage the increased speed and bandwidth potential of the optical domain, and importantly, remove the need for electro-optical conversions. Here we show that we can combine integrated optics with collocated data storage and processing to enable all-photonic in-memory computations. By employing nonvolatile photonic elements based on the phase-change material, GeSbTe, we achieve direct scalar and matrix-vector multiplication, featuring a novel single-shot / and a drift-free process. The output pulse, carrying the information of the light-matter interaction, is the result of the computation. Our all-optical approach is novel, easy to fabricate and operate, and sets the stage for development of entirely photonic computers.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6377270PMC
http://dx.doi.org/10.1126/sciadv.aau5759DOI Listing

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