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Roadmapping the next generation of silicon photonics

Author

Listed:
  • Sudip Shekhar

    (University of British Columbia)

  • Wim Bogaerts

    (Ghent University - IMEC)

  • Lukas Chrostowski

    (University of British Columbia)

  • John E. Bowers

    (University of California Santa Barbara)

  • Michael Hochberg

    (Luminous Computing)

  • Richard Soref

    (University of Massachusetts Boston)

  • Bhavin J. Shastri

    (Queen’s University)

Abstract

Silicon photonics has developed into a mainstream technology driven by advances in optical communications. The current generation has led to a proliferation of integrated photonic devices from thousands to millions-mainly in the form of communication transceivers for data centers. Products in many exciting applications, such as sensing and computing, are around the corner. What will it take to increase the proliferation of silicon photonics from millions to billions of units shipped? What will the next generation of silicon photonics look like? What are the common threads in the integration and fabrication bottlenecks that silicon photonic applications face, and which emerging technologies can solve them? This perspective article is an attempt to answer such questions. We chart the generational trends in silicon photonics technology, drawing parallels from the generational definitions of CMOS technology. We identify the crucial challenges that must be solved to make giant strides in CMOS-foundry-compatible devices, circuits, integration, and packaging. We identify challenges critical to the next generation of systems and applications—in communication, signal processing, and sensing. By identifying and summarizing such challenges and opportunities, we aim to stimulate further research on devices, circuits, and systems for the silicon photonics ecosystem.

Suggested Citation

  • Sudip Shekhar & Wim Bogaerts & Lukas Chrostowski & John E. Bowers & Michael Hochberg & Richard Soref & Bhavin J. Shastri, 2024. "Roadmapping the next generation of silicon photonics," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-44750-0
    DOI: 10.1038/s41467-024-44750-0
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    2. Shihan Hong & Jiachen Wu & Yiwei Xie & Xiyuan Ke & Huan Li & Linyan Lyv & Yingying Peng & Qingrui Yao & Yaocheng Shi & Ke Wang & Leimeng Zhuang & Pan Wang & Daoxin Dai, 2025. "Versatile parallel signal processing with a scalable silicon photonic chip," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    3. Ziyu Zhan & Hao Wang & Qiang Liu & Xing Fu, 2024. "Photonic diffractive generators through sampling noises from scattering media," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    4. Valerio Digiorgio & Urban Senica & Paolo Micheletti & Mattias Beck & Jérôme Faist & Giacomo Scalari, 2025. "On-chip, inverse-designed active wavelength division multiplexer at THz frequencies," Nature Communications, Nature, vol. 16(1), pages 1-7, December.
    5. Shiji Zhang & Xueyi Jiang & Bo Wu & Haojun Zhou & Wenguang Xu & Hailong Zhou & Zhichao Ruan & Jianji Dong & Xinliang Zhang, 2025. "Photonic edge intelligence chip for multi-modal sensing, inference and learning," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    6. Iman Taghavi & Omid Esmaeeli & Sheri Jahan Chowdhury & Kashif Masud Awan & Mustafa Hammood & Matthew Mitchell & Donald Witt & Cory Pecinovsky & Jason Sickler & Jeff F. Young & Nicolas A. F. Jaeger & S, 2025. "GHz-rate optical phase shift in light-matter interaction-engineered, silicon-ferroelectric nematic liquid crystals," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
    7. Changhao Han & Qipeng Yang & Jun Qin & Yan Zhou & Zhao Zheng & Yunhao Zhang & Haoren Wang & Yu Sun & Junde Lu & Yimeng Wang & Zhangfeng Ge & Yichen Wu & Lei Wang & Zhixue He & Shaohua Yu & Weiwei Hu &, 2025. "Exploring 400 Gbps/λ and beyond with AI-accelerated silicon photonic slow-light technology," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
    8. Shihuan Ran & Yu Guo & Yuanbin Liu & Ting Miao & Yangbo Wu & Yang Qin & Yuyao Guo & Liangjun Lu & Yixiao Zhu & Yu Li & Qunbi Zhuge & Jianping Chen & Linjie Zhou, 2025. "A 4×256 Gbps silicon transmitter with on-chip adaptive dispersion compensation," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    9. Julian L. Pita Ruiz & Narges Dalvand & Michaël Ménard, 2025. "Integrated silicon nitride devices via inverse design," Nature Communications, Nature, vol. 16(1), pages 1-8, December.

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