光子学
光学
计算机科学
功率分配器和定向耦合器
物理
信号处理
光学计算
集成光学
光电子学
光纤
电子工程
光学滤波器
光环行器
光学工程
光子集成电路
光通信
混合耦合器
折射率
硅光子学
光开关
材料科学
分束器
作者
Yuan Tian,Hengyu Zhang,Ganlin Xiong,Xinmeng Hao,Cen Liao,Li Feixiang,Hui Xu,Li Xuan,Bing Song,Qingjiang Li
摘要
The rapid growth of artificial intelligence creates a pressing need for high-speed, low-cost photonic computing technologies, which remain hindered by integration density, optical loss, and computational precision. Here, we demonstrate a non-volatile programmable directional coupler based on low-loss Sb 2 Se 3 phase-change material, featuring an insertion loss of 0.3 dB. The device achieved 197 distinct non-volatile optical states within a coupling length of only 28 μm. This high-precision control was enabled by a novel programming method leveraging a dual-band fiber array. Functioning as a matrix multiplication unit, this device facilitated the photonic neural network to attain an accuracy of 92.27% on the Fashion-MNIST dataset, paving the way for high-density, high-precision, and energy-efficient photonic computing.
科研通智能强力驱动
Strongly Powered by AbleSci AI