Optica Open
Browse

Inverse-designed multi-dimensional silicon photonic transmitters

Download (5.58 kB)
Version 2 2023-06-08, 12:43
Version 1 2023-01-11, 22:22
preprint
posted on 2023-06-08, 12:43 authored by Ki Youl Yang, Alexander D. White, Farshid Ashtiani, Chinmay Shirpurkar, Srinivas V. Pericherla, Lin Chang, Hao Song, Kaiheng Zou, Huibin Zhou, Kai Pang, Joshua Yang, Melissa A. Guidry, Daniil M. Lukin, Han Hao, Lawrence Trask, Geun Ho Ahn, Andy Netherton, Travis C. Briles, Jordan R. Stone, Lior Rechtman, Jeffery S. Stone, Kasper Van Gasse, Jinhie L. Skarda, Logan Su, Dries Vercruysse, Jean-Philippe W. Maclean, Shahriar Aghaeimeibodi, Ming-Jun Li, David A. B. Miller, Dan Marom, Scott B. Papp, Alan E. Willner, John E. Bowers, Peter J. Delfyett, Firooz Aflatouni, Jelena Vučković
Modern microelectronic processors have migrated towards parallel computing architectures with many-core processors. However, such expansion comes with diminishing returns exacted by the high cost of data movement between individual processors. The use of optical interconnects has burgeoned as a promising technology that can address the limits of this data transfer. While recent pushes to enhance optical communication have focused on developing wavelength-division multiplexing technology, this approach will eventually saturate the usable bandwidth, and new dimensions of data transfer will be paramount to fulfill the ever-growing need for speed. Here we demonstrate an integrated intra- and inter-chip multi-dimensional communication scheme enabled by photonic inverse design. Using inverse-designed mode-division multiplexers, we combine wavelength- and mode- multiplexing and send massively parallel data through nano-photonic waveguides and optical fibres. Crucially, as we take advantage of an orthogonal optical basis, our approach is inherently scalable to a multiplicative enhancement over the current state of the art.

History

Related Materials

Disclaimer

This arXiv metadata record was not reviewed or approved by, nor does it necessarily express or reflect the policies or opinions of, arXiv.

Usage metrics

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC