Programmable Nanophotonics for Computation

被引：0

作者：

Bunandar, Darius ^{[1
]}

Lazovich, Tomo ^{[1
]}

Gould, Michael ^{[1
]}

Braid, Ryan ^{[1
]}

Ramey, Carl ^{[1
]}

Harris, Nicholas C. ^{[1
]}

机构：

[1] Lightmatter Inc, 61 Chatham St FL 5, Boston, MA 02109 USA

来源：

2018 IEEE 15TH INTERNATIONAL CONFERENCE ON GROUP IV PHOTONICS (GFP) | 2018年

关键词：

D O I：

暂无

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

As Moore's law and Dennard scaling come to an end, new devices and computing architectures are being explored. The development of computing hardware designed specifically for machine learning has prompted explorations into both. While silicon photonics is typically viewed as a communications platform, it can serve as a particularly attractive computing platform for specific kinds of problems, including machine learning. Here, we will discuss our work towards realizing photonic matrix processors.

引用

页码：111 / 112

页数：2

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