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Integrating photonics with silicon nanoelectronics for the next generation of systems on a chip

Author

Listed:
  • Amir H. Atabaki

    (Massachusetts Institute of Technology)

  • Sajjad Moazeni

    (University of California, Berkeley)

  • Fabio Pavanello

    (University of Colorado, Boulder
    Ghent University-IMEC
    Ghent University)

  • Hayk Gevorgyan

    (Boston University)

  • Jelena Notaros

    (University of Colorado, Boulder
    Massachusetts Institute of Technology)

  • Luca Alloatti

    (Massachusetts Institute of Technology
    Institute of Electromagnetic Fields (IEF), ETH Zurich)

  • Mark T. Wade

    (University of Colorado, Boulder
    Ayar Labs, Inc.)

  • Chen Sun

    (University of California, Berkeley
    Ayar Labs, Inc.)

  • Seth A. Kruger

    (State University of New York (SUNY) Polytechnic Institute)

  • Huaiyu Meng

    (Massachusetts Institute of Technology)

  • Kenaish Al Qubaisi

    (Boston University)

  • Imbert Wang

    (Boston University)

  • Bohan Zhang

    (Boston University)

  • Anatol Khilo

    (Boston University)

  • Christopher V. Baiocco

    (State University of New York (SUNY) Polytechnic Institute)

  • Miloš A. Popović

    (Boston University)

  • Vladimir M. Stojanović

    (University of California, Berkeley)

  • Rajeev J. Ram

    (Massachusetts Institute of Technology)

Abstract

Electronic and photonic technologies have transformed our lives—from computing and mobile devices, to information technology and the internet. Our future demands in these fields require innovation in each technology separately, but also depend on our ability to harness their complementary physics through integrated solutions1,2. This goal is hindered by the fact that most silicon nanotechnologies—which enable our processors, computer memory, communications chips and image sensors—rely on bulk silicon substrates, a cost-effective solution with an abundant supply chain, but with substantial limitations for the integration of photonic functions. Here we introduce photonics into bulk silicon complementary metal–oxide–semiconductor (CMOS) chips using a layer of polycrystalline silicon deposited on silicon oxide (glass) islands fabricated alongside transistors. We use this single deposited layer to realize optical waveguides and resonators, high-speed optical modulators and sensitive avalanche photodetectors. We integrated this photonic platform with a 65-nanometre-transistor bulk CMOS process technology inside a 300-millimetre-diameter-wafer microelectronics foundry. We then implemented integrated high-speed optical transceivers in this platform that operate at ten gigabits per second, composed of millions of transistors, and arrayed on a single optical bus for wavelength division multiplexing, to address the demand for high-bandwidth optical interconnects in data centres and high-performance computing3,4. By decoupling the formation of photonic devices from that of transistors, this integration approach can achieve many of the goals of multi-chip solutions5, but with the performance, complexity and scalability of ‘systems on a chip’1,6–8. As transistors smaller than ten nanometres across become commercially available9, and as new nanotechnologies emerge10,11, this approach could provide a way to integrate photonics with state-of-the-art nanoelectronics.

Suggested Citation

  • Amir H. Atabaki & Sajjad Moazeni & Fabio Pavanello & Hayk Gevorgyan & Jelena Notaros & Luca Alloatti & Mark T. Wade & Chen Sun & Seth A. Kruger & Huaiyu Meng & Kenaish Al Qubaisi & Imbert Wang & Bohan, 2018. "Integrating photonics with silicon nanoelectronics for the next generation of systems on a chip," Nature, Nature, vol. 556(7701), pages 349-354, April.
  • Handle: RePEc:nat:nature:v:556:y:2018:i:7701:d:10.1038_s41586-018-0028-z
    DOI: 10.1038/s41586-018-0028-z
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    Citations

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    Cited by:

    1. Bowen Bai & Qipeng Yang & Haowen Shu & Lin Chang & Fenghe Yang & Bitao Shen & Zihan Tao & Jing Wang & Shaofu Xu & Weiqiang Xie & Weiwen Zou & Weiwei Hu & John E. Bowers & Xingjun Wang, 2023. "Microcomb-based integrated photonic processing unit," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    2. Qinci Wu & Jun Qian & Yuechen Wang & Luwen Xing & Ziyi Wei & Xin Gao & Yurui Li & Zhongfan Liu & Hongtao Liu & Haowen Shu & Jianbo Yin & Xingjun Wang & Hailin Peng, 2024. "Waveguide-integrated twisted bilayer graphene photodetectors," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    3. Wen Zhou & Bowei Dong & Nikolaos Farmakidis & Xuan Li & Nathan Youngblood & Kairan Huang & Yuhan He & C. David Wright & Wolfram H. P. Pernice & Harish Bhaskaran, 2023. "In-memory photonic dot-product engine with electrically programmable weight banks," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    4. Lucas M. Cohen & Kaiyi Wu & Karthik V. Myilswamy & Saleha Fatema & Navin B. Lingaraju & Andrew M. Weiner, 2024. "Silicon photonic microresonator-based high-resolution line-by-line pulse shaping," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    5. Zheng Li & Jin Xue & Marc Cea & Jaehwan Kim & Hao Nong & Daniel Chong & Khee Yong Lim & Elgin Quek & Rajeev J. Ram, 2023. "A sub-wavelength Si LED integrated in a CMOS platform," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    6. Abhishek Kumar & Manoj Gupta & Prakash Pitchappa & Nan Wang & Pascal Szriftgiser & Guillaume Ducournau & Ranjan Singh, 2022. "Phototunable chip-scale topological photonics: 160 Gbps waveguide and demultiplexer for THz 6G communication," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    7. Junwei Cheng & Chaoran Huang & Jialong Zhang & Bo Wu & Wenkai Zhang & Xinyu Liu & Jiahui Zhang & Yiyi Tang & Hailong Zhou & Qiming Zhang & Min Gu & Jianji Dong & Xinliang Zhang, 2024. "Multimodal deep learning using on-chip diffractive optics with in situ training capability," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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