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相关概念视频

Semiconductors01:22

Semiconductors

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There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
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Non-equilibrium in the Cell01:16

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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相关实验视频

Updated: Mar 13, 2026

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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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
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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.

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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.