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Nonlinear co-generation of graphene plasmons for optoelectronic logic operations

Author

Listed:
  • Yiwei Li

    (University of Electronic Science and Technology of China)

  • Ning An

    (University of Electronic Science and Technology of China)

  • Zheyi Lu

    (Hunan University)

  • Yuchen Wang

    (University of Electronic Science and Technology of China)

  • Bing Chang

    (University of Electronic Science and Technology of China)

  • Teng Tan

    (University of Electronic Science and Technology of China
    Zhejiang Laboratory)

  • Xuhan Guo

    (Shanghai Jiao Tong University)

  • Xizhen Xu

    (Shenzhen University)

  • Jun He

    (Shenzhen University)

  • Handing Xia

    (China Academic of Engineering Physics)

  • Zhaohui Wu

    (China Academic of Engineering Physics)

  • Yikai Su

    (Shanghai Jiao Tong University)

  • Yuan Liu

    (Hunan University)

  • Yunjiang Rao

    (University of Electronic Science and Technology of China
    Zhejiang Laboratory)

  • Giancarlo Soavi

    (Friedrich Schiller University Jena
    Friedrich Schiller University Jena)

  • Baicheng Yao

    (University of Electronic Science and Technology of China)

Abstract

Surface plasmons in graphene provide a compelling strategy for advanced photonic technologies thanks to their tight confinement, fast response and tunability. Recent advances in the field of all-optical generation of graphene’s plasmons in planar waveguides offer a promising method for high-speed signal processing in nanoscale integrated optoelectronic devices. Here, we use two counter propagating frequency combs with temporally synchronized pulses to demonstrate deterministic all-optical generation and electrical control of multiple plasmon polaritons, excited via difference frequency generation (DFG). Electrical tuning of a hybrid graphene-fibre device offers a precise control over the DFG phase-matching, leading to tunable responses of the graphene’s plasmons at different frequencies across a broadband (0 ~ 50 THz) and provides a powerful tool for high-speed logic operations. Our results offer insights for plasmonics on hybrid photonic devices based on layered materials and pave the way to high-speed integrated optoelectronic computing circuits.

Suggested Citation

  • Yiwei Li & Ning An & Zheyi Lu & Yuchen Wang & Bing Chang & Teng Tan & Xuhan Guo & Xizhen Xu & Jun He & Handing Xia & Zhaohui Wu & Yikai Su & Yuan Liu & Yunjiang Rao & Giancarlo Soavi & Baicheng Yao, 2022. "Nonlinear co-generation of graphene plasmons for optoelectronic logic operations," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30901-8
    DOI: 10.1038/s41467-022-30901-8
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    References listed on IDEAS

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    1. Angelos Xomalis & Iosif Demirtzioglou & Eric Plum & Yongmin Jung & Venkatram Nalla & Cosimo Lacava & Kevin F. MacDonald & Periklis Petropoulos & David J. Richardson & Nikolay I. Zheludev, 2018. "Fibre-optic metadevice for all-optical signal modulation based on coherent absorption," Nature Communications, Nature, vol. 9(1), pages 1-7, December.
    2. J. Feldmann & N. Youngblood & M. Karpov & H. Gehring & X. Li & M. Stappers & M. Gallo & X. Fu & A. Lukashchuk & A. S. Raja & J. Liu & C. D. Wright & A. Sebastian & T. J. Kippenberg & W. H. P. Pernice , 2021. "Publisher Correction: Parallel convolutional processing using an integrated photonic tensor core," Nature, Nature, vol. 591(7849), pages 13-13, March.
    3. Xingyuan Xu & Mengxi Tan & Bill Corcoran & Jiayang Wu & Andreas Boes & Thach G. Nguyen & Sai T. Chu & Brent E. Little & Damien G. Hicks & Roberto Morandotti & Arnan Mitchell & David J. Moss, 2021. "11 TOPS photonic convolutional accelerator for optical neural networks," Nature, Nature, vol. 589(7840), pages 44-51, January.
    4. J. Feldmann & N. Youngblood & M. Karpov & H. Gehring & X. Li & M. Stappers & M. Gallo & X. Fu & A. Lukashchuk & A. S. Raja & J. Liu & C. D. Wright & A. Sebastian & T. J. Kippenberg & W. H. P. Pernice , 2021. "Parallel convolutional processing using an integrated photonic tensor core," Nature, Nature, vol. 589(7840), pages 52-58, January.
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    Cited by:

    1. Artem Sinelnik & Shiu Hei Lam & Filippo Coviello & Sebastian Klimmer & Giuseppe Valle & Duk-Yong Choi & Thomas Pertsch & Giancarlo Soavi & Isabelle Staude, 2024. "Ultrafast all-optical second harmonic wavefront shaping," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    2. Pei-Yuan Wu & Wei-Qing Lee & Chang-Hua Liu & Chen-Bin Huang, 2024. "Coherent control of enhanced second-harmonic generation in a plasmonic nanocircuit using a transition metal dichalcogenide monolayer," Nature Communications, Nature, vol. 15(1), pages 1-7, December.

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