IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-61234-x.html
   My bibliography  Save this article

Thin-film lithium niobate photonic circuit for ray tracing acceleration

Author

Listed:
  • Shiji Zhang

    (Huazhong University of Science and Technology)

  • Zixi liu

    (Huazhong University of Science and Technology)

  • Xueyi Jiang

    (Huazhong University of Science and Technology)

  • Haojun Zhou

    (Huazhong University of Science and Technology)

  • Bo Wu

    (Huazhong University of Science and Technology)

  • Hailong Zhou

    (Huazhong University of Science and Technology)

  • Bo Xu

    (Huawei Technologies)

  • Qing Zhu

    (Huawei Technologies)

  • Yuhao Guo

    (Huawei Technologies)

  • Cheng Zeng

    (Huazhong University of Science and Technology)

  • Jinsong Xia

    (Huazhong University of Science and Technology)

  • Jianji Dong

    (Huazhong University of Science and Technology)

  • Xinliang Zhang

    (Huazhong University of Science and Technology)

Abstract

Real-time, physically realistic rendering is a significant challenge in spatial computing systems due to the excessive computational intensity of ray tracing and the performance limitations of current electronic platform. Here, we propose and demonstrate the first photonic counterpart for ray tracing acceleration, capable of performing ray-box intersection tests in the optical domain. Leveraging the high bandwidth, high linearity, and superior efficiency of thin-film lithium niobate (TFLN), our photonic ray tracing core (PRTC) achieves significantly more rapid and energy-efficient computation compared to traditional electronic hardware. Furthermore, by exploiting the binary nature of ray-box intersection tests, we reduce the analog-to-digital converter (ADC) bit-width requirement to a single bit, effectively overcoming the primary bottleneck in analog computing accelerators—the power consumption dominated by ADCs. As a result, our PRTC achieves an energy efficiency of 326 femtojoules per operation (fJ/OP) and demonstrates a modulator bandwidth exceeding 100 GHz. This advancement achieves significant improvements in both speed and energy efficiency by orders of magnitude. Our work demonstrates the feasibility of using photonic chips for ray tracing, effectively circumventing the ADC bottleneck of optical computing systems, and paves the way for future innovations in high-performance, low-power spatial computing applications.

Suggested Citation

  • Shiji Zhang & Zixi liu & Xueyi Jiang & Haojun Zhou & Bo Wu & Hailong Zhou & Bo Xu & Qing Zhu & Yuhao Guo & Cheng Zeng & Jinsong Xia & Jianji Dong & Xinliang Zhang, 2025. "Thin-film lithium niobate photonic circuit for ray tracing acceleration," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61234-x
    DOI: 10.1038/s41467-025-61234-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-61234-x
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-61234-x?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. 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.
    2. Hanke Feng & Tong Ge & Xiaoqing Guo & Benshan Wang & Yiwen Zhang & Zhaoxi Chen & Sha Zhu & Ke Zhang & Wenzhao Sun & Chaoran Huang & Yixuan Yuan & Cheng Wang, 2024. "Integrated lithium niobate microwave photonic processing engine," Nature, Nature, vol. 627(8002), pages 80-87, March.
    3. 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.
    4. Cheng Wang & Mian Zhang & Xi Chen & Maxime Bertrand & Amirhassan Shams-Ansari & Sethumadhavan Chandrasekhar & Peter Winzer & Marko Lončar, 2018. "Integrated lithium niobate electro-optic modulators operating at CMOS-compatible voltages," Nature, Nature, vol. 562(7725), pages 101-104, October.
    5. 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.
    6. Miguel Camacho & Brian Edwards & Nader Engheta, 2021. "A single inverse-designed photonic structure that performs parallel computing," Nature Communications, Nature, vol. 12(1), pages 1-7, December.
    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. Yunping Bai & Yifu Xu & Shifan Chen & Xiaotian Zhu & Shuai Wang & Sirui Huang & Yuhang Song & Yixuan Zheng & Zhihui Liu & Sim Tan & Roberto Morandotti & Sai T. Chu & Brent E. Little & David J. Moss & , 2025. "TOPS-speed complex-valued convolutional accelerator for feature extraction and inference," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    2. Dongliang Wang & Yikun Nie & Gaolei Hu & Hon Ki Tsang & Chaoran Huang, 2024. "Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. 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.
    4. Chenlei Li & Hongyan Yu & Tao Shu & Yueyang Zhang & Chengfeng Wen & Hengzhen Cao & Jin Xie & Hanwen Li & Zixu Xu & Gong Zhang & Zejie Yu & Huan Li & Liu Liu & Yaocheng Shi & Feng Qiu & Daoxin Dai, 2025. "PZT optical memristors," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    5. Xuan-Kun Li & Jian-Xu Ma & Xiang-Yu Li & Jun-Jie Hu & Chuan-Yang Ding & Feng-Kai Han & Xiao-Min Guo & Xi Tan & Xian-Min Jin, 2024. "High-efficiency reinforcement learning with hybrid architecture photonic integrated circuit," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    6. Jingwei Ling & Zhengdong Gao & Shixin Xue & Qili Hu & Mingxiao Li & Kaibo Zhang & Usman A. Javid & Raymond Lopez-Rios & Jeremy Staffa & Qiang Lin, 2024. "Electrically empowered microcomb laser," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    7. Shaofu Xu & Jing Wang & Sicheng Yi & Weiwen Zou, 2022. "High-order tensor flow processing using integrated photonic circuits," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    8. Dmitry Kazakov & Theodore P. Letsou & Maximilian Beiser & Yiyang Zhi & Nikola Opačak & Marco Piccardo & Benedikt Schwarz & Federico Capasso, 2024. "Active mid-infrared ring resonators," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    9. Zhongjin Lin & Bhavin J. Shastri & Shangxuan Yu & Jingxiang Song & Yuntao Zhu & Arman Safarnejadian & Wangning Cai & Yanmei Lin & Wei Ke & Mustafa Hammood & Tianye Wang & Mengyue Xu & Zibo Zheng & Moh, 2024. "120 GOPS Photonic tensor core in thin-film lithium niobate for inference and in situ training," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    10. Jiawei Lv & Jeong Hyun Han & Geonho Han & Seongmin An & Seung Ju Kim & Ryeong Myeong Kim & Jung‐El Ryu & Rena Oh & Hyuckjin Choi & In Han Ha & Yoon Ho Lee & Minje Kim & Gyeong-Su Park & Ho Won Jang & , 2024. "Spatiotemporally modulated full-polarized light emission for multiplexed optical encryption," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    11. Xiaopeng Feng & Yuhong He & Wei Qu & Jinmei Song & Wanting Pan & Mingrui Tan & Bai Yang & Haotong Wei, 2022. "Spray-coated perovskite hemispherical photodetector featuring narrow-band and wide-angle imaging," 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. H. H. Zhu & J. Zou & H. Zhang & Y. Z. Shi & S. B. Luo & N. Wang & H. Cai & L. X. Wan & B. Wang & X. D. Jiang & J. Thompson & X. S. Luo & X. H. Zhou & L. M. Xiao & W. Huang & L. Patrick & M. Gu & L. C., 2022. "Space-efficient optical computing with an integrated chip diffractive neural network," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    14. Dimitrios C. Tzarouchis & Brian Edwards & Nader Engheta, 2025. "Programmable wave-based analog computing machine: a metastructure that designs metastructures," Nature Communications, Nature, vol. 16(1), pages 1-7, December.
    15. 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.
    16. Chenduan Chen & Zhan Yang & Tao Wang & Yalun Wang & Kai Gao & Jiajia Wu & Jun Wang & Jianrong Qiu & Dezhi Tan, 2024. "Ultra-broadband all-optical nonlinear activation function enabled by MoTe2/optical waveguide integrated devices," Nature Communications, Nature, vol. 15(1), pages 1-12, 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. Xuguang Zhang & Zixuan Zhou & Yijun Guo & Minxue Zhuang & Warren Jin & Bitao Shen & Yujun Chen & Jiahui Huang & Zihan Tao & Ming Jin & Ruixuan Chen & Zhangfeng Ge & Zhou Fang & Ning Zhang & Yadong Liu, 2024. "High-coherence parallelization in integrated photonics," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    19. Miltiadis Moralis-Pegios & George Giamougiannis & Apostolos Tsakyridis & David Lazovsky & Nikos Pleros, 2024. "Perfect linear optics using silicon photonics," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    20. Frank Brückerhoff-Plückelmann & Hendrik Borras & Bernhard Klein & Akhil Varri & Marlon Becker & Jelle Dijkstra & Martin Brückerhoff & C. David Wright & Martin Salinga & Harish Bhaskaran & Benjamin Ris, 2024. "Probabilistic photonic computing with chaotic light," Nature Communications, Nature, vol. 15(1), pages 1-10, 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:16:y:2025:i:1:d:10.1038_s41467-025-61234-x. 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.