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Multi-dimensional data transmission using inverse-designed silicon photonics and microcombs.

Ki Youl YangChinmay ShirpurkarAlexander D WhiteJizhao ZangLin ChangFarshid AshtianiMelissa A GuidryDaniil M LukinSrinivas V PericherlaJoshua YangHyounghan KwonJesse LuGeun Ho AhnKasper Van GasseYan JinSu-Peng YuTravis C BrilesJordan R StoneDavid R CarlsonHao SongKaiheng ZouHuibin ZhouKai PangHan HaoLawrence TraskMingxiao LiAndy NethertonLior RechtmanJeffery S StoneJinhee L SkardaLogan SuDries VercruysseJean-Philippe W MacLeanShahriar AghaeimeibodiMing-Jun LiDavid A B MillerDan M MaromAlan E WillnerJohn E BowersScott B PappPeter J DelfyettFirooz AflatouniJelena Vučković
Published in: Nature communications (2022)
The use of optical interconnects has burgeoned as a promising technology that can address the limits of data transfer for future high-performance silicon chips. Recent pushes to enhance optical communication have focused on developing wavelength-division multiplexing technology, and new dimensions of data transfer will be paramount to fulfill the ever-growing need for speed. Here we demonstrate an integrated multi-dimensional communication scheme that combines wavelength- and mode- multiplexing on a silicon photonic circuit. Using foundry-compatible photonic inverse design and spectrally flattened microcombs, we demonstrate a 1.12-Tb/s natively error-free data transmission throughout a silicon nanophotonic waveguide. Furthermore, we implement inverse-designed surface-normal couplers to enable multimode optical transmission between separate silicon chips throughout a multimode-matched fibre. All the inverse-designed devices comply with the process design rules for standard silicon photonic foundries. Our approach is inherently scalable to a multiplicative enhancement over the state of the art silicon photonic transmitters.
Keyphrases
  • high speed
  • electronic health record
  • high resolution
  • big data
  • mycobacterium tuberculosis
  • data analysis
  • deep learning