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<p>The rise of artificial intelligence has triggered exponential growth in data volume, demanding rapid and efficient processing. High-speed, energy-efficient, and parallel-scalable computing hardware is thus increasingly critical. We demonstrate a wafer-scale non-volatile photonic computing chip using topological modulators. Leveraging the GHz-speed electro-optic response and nonvolatility of ferroelectric lead zirconate titanate (PZT) thin films via topological photonic confinement, our chip enables 1,000× accelerated reconfiguration, near-zero static-power operation, and a computational density of 266 trillion operations per second per square millimeter (TOPS/mm²). A 16-channel wavelength-space multiplexed chip delivers 1.92 TOPS throughput with 95.64% digit-recognition accuracy and 94.5% precision for solving time-varying partial differential equations. Additionally, the chip supports functional reconfiguration for high bandwidth density optical I/O. This work establishes ferroelectric topological photonics for efficient high-speed photonic tensor processing.</p>

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Ultrafast reconfigurable topological-modulators-based photonic processing accelerator

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月23日

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  • Wenfeng Zhou,
  • Xin Wang,
  • Xun Zhang,
  • Yuqi Chen,
  • Min Sun,
  • Yongheng Jiang,
  • Pu Zhang,
  • Jingchi Li,
  • Xiong Ni,
  • Yahui Zhu,
  • Qingqing Han,
  • Jungan Wang,
  • Chen Yang,
  • Bin Li,
  • Feng Qiu,
  • Yonghui Tian,
  • Yikai Su,
  • Yong Zhang

摘要

The rise of artificial intelligence has triggered exponential growth in data volume, demanding rapid and efficient processing. High-speed, energy-efficient, and parallel-scalable computing hardware is thus increasingly critical. We demonstrate a wafer-scale non-volatile photonic computing chip using topological modulators. Leveraging the GHz-speed electro-optic response and nonvolatility of ferroelectric lead zirconate titanate (PZT) thin films via topological photonic confinement, our chip enables 1,000× accelerated reconfiguration, near-zero static-power operation, and a computational density of 266 trillion operations per second per square millimeter (TOPS/mm²). A 16-channel wavelength-space multiplexed chip delivers 1.92 TOPS throughput with 95.64% digit-recognition accuracy and 94.5% precision for solving time-varying partial differential equations. Additionally, the chip supports functional reconfiguration for high bandwidth density optical I/O. This work establishes ferroelectric topological photonics for efficient high-speed photonic tensor processing.