轻IN:一个多功能集成的光子场可编程门阵列,为下一代AI集群提供智能配置框架
Ying Zhu1, Yifan Liu1, Xinyu Yang1
1National Information Optoelectronics Innovation Center, China Information and Communication Technologies Group Corporation, Youkeyuan Road 88, Wuhan, 430074, Hubei, China.
Light, science & applications
|March 12, 2026
概括
本研究介绍了一种可重新配置的光子芯片,可实现各种AI集群功能,如计算和加密. 这种新型芯片实现了高速矩阵乘法和图像识别,推进了光电子AI系统.
科学领域:
- 光电学是指光电子产品.
- 人工智能的人工智能
- 综合光子学 综合光子学
背景情况:
- 人工智能 (AI) 模型需要大量的计算能力和高带宽通信,挑战传统的电子电路.
- 光学提供高速,低延迟和大带宽,使其适合人工智能数据传输和光子神经网络.
- 目前的光子芯片缺乏适应性和硬件-软件协调,阻碍了先进的光电子AI集群的发展.
研究的目的:
- 为多功能AI集群应用开发可重新配置的光子芯片.
- 展示各种功能,包括计算加速,信号处理,网络切换和单一芯片上的安全加密.
- 建立一个测试和控制光子芯片而无芯片内监控的框架.
主要方法:
- 开发一个可重新配置的光子芯片,拥有40个可编程单元细胞和160多个组件.
- 为芯片控制实施定制的测试,编译和调整框架.
- 展示矩阵乘法,神经网络图像识别,波长锁定,光子通道切换和物理无法克隆的功能.
主要成果:
- 实现了4x4双向单元和3x3单向非单元矩阵乘法,速度超过1.92 TOPS,精度为6.22位,能量效率为1.875 pJ/MAC.
- 展示了用于图像识别的神经网络,其延迟为260ps,微环调制器波长锁定在5-32 Gb/s系统中.
- 展示了4x4光子通道切换与-44dB通道间交叉声和光子物理无法克隆的功能.
结论:
- 开发的可重新配置的光子芯片集成了各种AI功能,解决了当前技术的局限性.
- 新的光电子处理系统,包括芯片和软件堆,可以实现先进的光子系统在芯片上的设计.
- 这项工作为构建高效和多功能光电子AI集群铺平了道路.
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