乘数(经济学)
乘法(音乐)
光学计算
矩阵乘法
计算机科学
计算
向量空间
数学
光学
算法
物理
组合数学
量子
宏观经济学
量子力学
经济
几何学
作者
James C. Spall,Xianxin Guo,Thomas D. Barrett,A. I. Lvovsky
出处
期刊:Optics Letters
[The Optical Society]
日期:2020-10-12
卷期号:45 (20): 5752-5752
被引量:46
摘要
Optics is a promising platform in which to help realize the next generation of fast, parallel, and energy-efficient computation. We demonstrate a reconfigurable free-space optical multiplier that is capable of over 3000 computations in parallel, using spatial light modulators with a pixel resolution of only 340×340. This enables vector-matrix multiplication and parallel vector-vector multiplication with vector size of up to 56. Our design is, to the best of our knowledge, the first to simultaneously support optical implementation of reconfigurable, large-sized, and real-valued linear algebraic operations. Such an optical multiplier can serve as a building block of special-purpose optical processors such as optical neural networks and optical Ising machines.
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