全光时间集成通过亚波长热天线的介导
Yi Zhang1, Nikolaos Farmakidis1, Ioannis Roumpos2
1Department of Materials, University of Oxford, Parks Road, Oxford, UK.
Nature communications
|December 23, 2025
概括
本研究介绍了一种全光学神经形态计算系统,使用时间分割复杂化处理大型AI矢量. 这种新的平台可以实现高维,超快的信号处理和完全光学非线性激活.
科学领域:
- 光子学是指光子学的使用方法.
- 人工智能的人工智能
- 神经形态计算是一种神经形态计算.
背景情况:
- 光学计算为标量运算提供了高速度,但在处理高维张量时受到限制.
- 当前的集成系统无法满足先进人工智能 (AI) 应用所需的矢量维度.
研究的目的:
- 展示一个全光学神经形态计算系统,能够处理大规模的输入向量.
- 克服当前用于人工智能的集成光学计算系统的维度限制.
主要方法:
- 在统一的光学框架内利用时间分割复杂化.
- 在静电波光学场中利用光学驱动的热光学调制.
- 使用纳米天线作为波长选择性吸收器用于信号控制.
主要成果:
- 证明了超过25万个元素的输入向量的处理.
- 通过光学实现超快 (50 GHz) 信号的同时时间集成.
- 可编程,非线性激活功能完全在光学领域实现.
结论:
- 开发的系统代表了大规模光子计算的重大进步.
- 这种统一的光学框架解决了现代人工智能工作负载的维度要求.
- 该系统为未来的高性能AI硬件提供了一条途径.
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