IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-42289-0.html
   My bibliography  Save this article

Visible-to-mid-IR tunable frequency comb in nanophotonics

Author

Listed:
  • Arkadev Roy

    (California Institute of Technology)

  • Luis Ledezma

    (California Institute of Technology
    California Institute of Technology)

  • Luis Costa

    (California Institute of Technology)

  • Robert Gray

    (California Institute of Technology)

  • Ryoto Sekine

    (California Institute of Technology)

  • Qiushi Guo

    (California Institute of Technology)

  • Mingchen Liu

    (California Institute of Technology)

  • Ryan M. Briggs

    (California Institute of Technology)

  • Alireza Marandi

    (California Institute of Technology)

Abstract

Optical frequency comb is an enabling technology for a multitude of applications from metrology to ranging and communications. The tremendous progress in sources of optical frequency combs has mostly been centered around the near-infrared spectral region, while many applications demand sources in the visible and mid-infrared, which have so far been challenging to achieve, especially in nanophotonics. Here, we report widely tunable frequency comb generation using optical parametric oscillators in lithium niobate nanophotonics. We demonstrate sub-picosecond frequency combs tunable beyond an octave extending from 1.5 up to 3.3 μm with femtojoule-level thresholds on a single chip. We utilize the up-conversion of the infrared combs to generate visible frequency combs reaching 620 nm on the same chip. The ultra-broadband tunability and visible-to-mid-infrared spectral coverage of our source highlight a practical and universal path for the realization of efficient frequency comb sources in nanophotonics, overcoming their spectral sparsity.

Suggested Citation

  • Arkadev Roy & Luis Ledezma & Luis Costa & Robert Gray & Ryoto Sekine & Qiushi Guo & Mingchen Liu & Ryan M. Briggs & Alireza Marandi, 2023. "Visible-to-mid-IR tunable frequency comb in nanophotonics," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42289-0
    DOI: 10.1038/s41467-023-42289-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-42289-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-42289-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mian Zhang & Brandon Buscaino & Cheng Wang & Amirhassan Shams-Ansari & Christian Reimer & Rongrong Zhu & Joseph M. Kahn & Marko Lončar, 2019. "Broadband electro-optic frequency comb generation in a lithium niobate microring resonator," Nature, Nature, vol. 568(7752), pages 373-377, April.
    2. Brian Stern & Xingchen Ji & Yoshitomo Okawachi & Alexander L. Gaeta & Michal Lipson, 2018. "Battery-operated integrated frequency comb generator," Nature, Nature, vol. 562(7727), pages 401-405, October.
    3. Pablo Marin-Palomo & Juned N. Kemal & Maxim Karpov & Arne Kordts & Joerg Pfeifle & Martin H. P. Pfeiffer & Philipp Trocha & Stefan Wolf & Victor Brasch & Miles H. Anderson & Ralf Rosenberger & Kovendh, 2017. "Microresonator-based solitons for massively parallel coherent optical communications," Nature, Nature, vol. 546(7657), pages 274-279, June.
    4. Arkadev Roy & Saman Jahani & Carsten Langrock & Martin Fejer & Alireza Marandi, 2021. "Spectral phase transitions in optical parametric oscillators," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang He & Raymond Lopez-Rios & Usman A. Javid & Jingwei Ling & Mingxiao Li & Shixin Xue & Kerry Vahala & Qiang Lin, 2023. "High-speed tunable microwave-rate soliton microcomb," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    2. Shahab Abdollahi & Mathieu Ladouce & Pablo Marin-Palomo & Martin Virte, 2024. "Agile THz-range spectral multiplication of frequency combs using a multi-wavelength laser," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    3. Yong Geng & Heng Zhou & Xinjie Han & Wenwen Cui & Qiang Zhang & Boyuan Liu & Guangwei Deng & Qiang Zhou & Kun Qiu, 2022. "Coherent optical communications using coherence-cloned Kerr soliton microcombs," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    4. Yuanbin Liu & Hongyi Zhang & Jiacheng Liu & Liangjun Lu & Jiangbing Du & Yu Li & Zuyuan He & Jianping Chen & Linjie Zhou & Andrew W. Poon, 2024. "Parallel wavelength-division-multiplexed signal transmission and dispersion compensation enabled by soliton microcombs and microrings," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    5. Arslan Sajid Raja & Sophie Lange & Maxim Karpov & Kai Shi & Xin Fu & Raphael Behrendt & Daniel Cletheroe & Anton Lukashchuk & Istvan Haller & Fotini Karinou & Benn Thomsen & Krzysztof Jozwik & Junqiu , 2021. "Ultrafast optical circuit switching for data centers using integrated soliton microcombs," Nature Communications, Nature, vol. 12(1), pages 1-7, December.
    6. Chen-Guang Wang & Wuyue Xu & Chong Li & Lili Shi & Junliang Jiang & Tingting Guo & Wen-Cheng Yue & Tianyu Li & Ping Zhang & Yang-Yang Lyu & Jiazheng Pan & Xiuhao Deng & Ying Dong & Xuecou Tu & Sining , 2024. "Integrated and DC-powered superconducting microcomb," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    7. Bitao Shen & Haowen Shu & Weiqiang Xie & Ruixuan Chen & Zhi Liu & Zhangfeng Ge & Xuguang Zhang & Yimeng Wang & Yunhao Zhang & Buwen Cheng & Shaohua Yu & Lin Chang & Xingjun Wang, 2023. "Harnessing microcomb-based parallel chaos for random number generation and optical decision making," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    8. Chao Xiang & Joel Guo & Warren Jin & Lue Wu & Jonathan Peters & Weiqiang Xie & Lin Chang & Boqiang Shen & Heming Wang & Qi-Fan Yang & David Kinghorn & Mario Paniccia & Kerry J. Vahala & Paul A. Morton, 2021. "High-performance lasers for fully integrated silicon nitride photonics," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    9. Ki Youl Yang & Chinmay Shirpurkar & Alexander D. White & Jizhao Zang & Lin Chang & Farshid Ashtiani & Melissa A. Guidry & Daniil M. Lukin & Srinivas V. Pericherla & Joshua Yang & Hyounghan Kwon & Jess, 2022. "Multi-dimensional data transmission using inverse-designed silicon photonics and microcombs," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    10. Zihan Li & Rui Ning Wang & Grigory Lihachev & Junyin Zhang & Zelin Tan & Mikhail Churaev & Nikolai Kuznetsov & Anat Siddharth & Mohammad J. Bereyhi & Johann Riemensberger & Tobias J. Kippenberg, 2023. "High density lithium niobate photonic integrated circuits," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    11. Mingming Nie & Kunpeng Jia & Yijun Xie & Shining Zhu & Zhenda Xie & Shu-Wei Huang, 2022. "Synthesized spatiotemporal mode-locking and photonic flywheel in multimode mesoresonators," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    12. Wenting Wang & Ping-Keng Lu & Abhinav Kumar Vinod & Deniz Turan & James F. McMillan & Hao Liu & Mingbin Yu & Dim-Lee Kwong & Mona Jarrahi & Chee Wei Wong, 2022. "Coherent terahertz radiation with 2.8-octave tunability through chip-scale photomixed microresonator optical parametric oscillation," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    13. Chengying Bao & Zhiquan Yuan & Lue Wu & Myoung-Gyun Suh & Heming Wang & Qiang Lin & Kerry J. Vahala, 2021. "Architecture for microcomb-based GHz-mid-infrared dual-comb spectroscopy," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    14. 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.
    15. Rui Niu & Ming Li & Shuai Wan & Yu Robert Sun & Shui-Ming Hu & Chang-Ling Zou & Guang-Can Guo & Chun-Hua Dong, 2023. "kHz-precision wavemeter based on reconfigurable microsoliton," Nature Communications, Nature, vol. 14(1), pages 1-6, December.
    16. Xiaoyun Yuan & Yong Wang & Zhihao Xu & Tiankuang Zhou & Lu Fang, 2023. "Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    17. Xiangyan Meng & Guojie Zhang & Nuannuan Shi & Guangyi Li & José Azaña & José Capmany & Jianping Yao & Yichen Shen & Wei Li & Ninghua Zhu & Ming Li, 2023. "Compact optical convolution processing unit based on multimode interference," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    18. Han Zhao & Bingzhao Li & Huan Li & Mo Li, 2022. "Enabling scalable optical computing in synthetic frequency dimension using integrated cavity acousto-optics," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    19. Timothy P. McKenna & Hubert S. Stokowski & Vahid Ansari & Jatadhari Mishra & Marc Jankowski & Christopher J. Sarabalis & Jason F. Herrmann & Carsten Langrock & Martin M. Fejer & Amir H. Safavi-Naeini, 2022. "Ultra-low-power second-order nonlinear optics on a chip," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    20. Guangwei Cong & Noritsugu Yamamoto & Takashi Inoue & Yuriko Maegami & Morifumi Ohno & Shota Kita & Shu Namiki & Koji Yamada, 2022. "On-chip bacterial foraging training in silicon photonic circuits for projection-enabled nonlinear classification," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42289-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.