Graphene-based Photonic-Electronic Multiply-Accumulate Neurons

被引：0

作者：

De Marinis, L. ^{[1
]}

Kincaid, P. S. ^{[1
]}

Contestabile, G. ^{[1
]}

Gupta, S. ^{[2
]}

Andriolli, N. ^{[3
]}

机构：

[1] Scuola Superiore St Anna, Pisa, Italy

[2] Indian Inst Technol Patna, Bihta, India

[3] CNR, IEIIT, Pisa, Italy

来源：

2023 INTERNATIONAL CONFERENCE ON PHOTONICS IN SWITCHING AND COMPUTING, PSC | 2023年

关键词：

Neuromorphic photonics; graphene; electro-absorption modulators;

D O I：

10.1109/PSC57974.2023.10297269

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We assess the potential of graphene optical modulators for high-speed neuromorphic computing. We numerically validate the performance in terms of analog resolution of a photonic-electronic neuron based on high-speed graphene electro-absorption modulators. The neuromorphic processor delivers up to 280 GMAC/s with a resolution spanning from 2.7 to 5.4 equivalent bits for different operating frequencies.

引用

页数：3

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