Ultrafast Reconfigurable Topological Photonic Processing Accelerator

Wenfeng Zhou; Xin Wang; Xun Zhang; Yuqi Chen; Min Sun; Jingchi Li; Xiong Ni; Yahui Zhu; Qingqing Han; Jungan Wang; Chen Yang; Bin Li; Feng Qiu; Yikai Su; Yong Zhang

arXiv · 2511.03432

Ultrafast Reconfigurable Topological Photonic Processing Accelerator

Wenfeng Zhou·Xin Wang·Xun Zhang·Yuqi Chen·Min Sun·Jingchi Li·Xiong Ni·Yahui Zhu·Qingqing Han·Jungan Wang·Chen Yang·Bin Li·Feng Qiu·Yikai Su·Yong Zhang

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Abstract

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 topological 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 thousand-fold faster reconfiguration, zero-static-power operation, and a computational density of 266 trillion operations per second per square millimeter . This density surpasses that of silicon photonic reconfigurable computing chips by two orders of magnitude and thin-film lithium niobate platforms by four orders of magnitude. 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.

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Wenfeng Zhou, Xin Wang, Xun Zhang, Yuqi Chen, Min Sun, Jingchi Li, Xiong Ni, Yahui Zhu, Qingqing Han, Jungan Wang, Chen Yang, Bin Li, Feng Qiu, Yikai Su, Yong Zhang. 2025-11-05. Ultrafast Reconfigurable Topological Photonic Processing Accelerator. https://arxiv.org/abs/2511.03432

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