Randomized trial demonstrates improved photonic processing speed and accuracy in computing, indicating enhanced AI capabilities.
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. This work demonstrates a non-volatile photonic computing chip based on topological modulators on a PZT platform. The chip achieves 110 GHz bandwidth, 266 TOPS/mm² compute density, and near-zero static power. A 16-channel chip delivers 1.92 TOPS throughput with over 94.5% accuracy for digit recognition and PDE solving.
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Zhou et al. (2026) studied this question.
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