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复杂值矩阵向量乘法使用可扩展的连贯光子处理器
Yiwei Xie1, Xiyuan Ke1, Shihan Hong1
1State Key Laboratory of Extreme Photonics and Instrumentation, Zhejiang Key Laboratory of Optoelectronic Information Technology, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310058, China.
我们开发了一个16通道的光子处理器,用于超快的矩阵向量乘法 (MVM). 这种芯片规模的设备每秒实现1.28太运算,为人工智能和信号处理推进光子计算.
科学领域:
- 光子学 是一个光子学.
- 光学计算是指光学计算的应用.
- 人工智能的人工智能
背景情况:
- 矩阵向量乘法 (MVM) 对于信号处理和AI至关重要.
- 光子处理器提供了比电子对应器更高的速度和能源效率的潜力.
- 现有的光子解决方案面临着可扩展性和灵活性方面的挑战.
研究的目的:
- 提出和演示一种新的芯片规模连贯光子矩阵向量乘法处理器 (MVMP).
- 为了实现高级应用程序的高速计算和功能灵活性.
- 克服当前微电子和光子计算方法的局限性.
主要方法:
- 集成一个可编程的16通道芯片上的相干光子处理器.
- 使用低相误差的马赫-泽恩德干扰仪网格.
- 采用超低损耗扩展光子波导延迟线用于振幅和相位编码.
- 高速连贯检测的实施.
主要成果:
- 复杂值矩阵向量乘法以每秒1.28特拉运算 (TOPS) 的演示.
- 实现了对任意矩阵转换,并行图像处理和手写数字识别的高度灵活性.
- 验证了低损耗和低相误差设计的优点,以提高可扩展性和功能灵活性.
结论:
- 拟议的MVMP代表了高速和大规模光子计算的重大进步.
- 综合设计能够显著提高计算速度和能源效率.
- 这项技术对未来的人工智能和信号处理应用具有前景.
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