高集成的光子张力芯利用高维光波和微波多域复杂化
Xiangyan Meng1,2,3, Nuannuan Shi4,5,6, Guojie Zhang7
1Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Light, science & applications
|January 2, 2025
概括
研究人员使用微环共振器开发了一种超高密度的光学张量处理单元 (OTPU). 这种光学计算方法克服了人工神经网络电气计算的局限性,在数字识别中实现了高精度.
科学领域:
- 光子学和人工智能的人工智能
- 光学计算硬件 光学计算硬件
背景情况:
- 神经网络中不断增长的参数数量挑战了传统的张量计算硬件.
- 光学智能计算为电气计算提供了一个有前途的替代方案,但在设备尺寸和光子集成方面面临局限性.
- 现有的光芯片设计难以满足复杂的人工智能计算的需求.
研究的目的:
- 引入超高计算密度的光学张量处理单元 (OTPU),以解决当前硬件的局限性.
- 为了展示基于微波振器 (MRRs) 的新型光学张力芯.
- 为了使高效的张量卷积运算使用混合光波和微波复合.
主要方法:
- 使用单个微环共振器 (MRR) 作为光学张量处理单元的基础.
- 通过独立调多波长激光器来形成光学张力芯,编排了MRR功能.
- 通过跨时间,波长和微波频率领域的混合复合实现了张量卷积运算.
主要成果:
- 通过基于MRR的OTPU实现了34.04 TOPS/mm2的非凡计算密度.
- 在识别MNIST手写数字方面表现出96.41%的高准确率.
- 验证了光波和微波多域混合多重复合对于张量运算的有效性.
结论:
- 开发的基于MRR的OTPU代表了光学张量处理的重大进步.
- 这项技术为人工智能应用中的高性能光学芯片提供了可行的解决方案.
- 超高的计算密度和精度为下一代AI硬件铺平了道路.
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