On-chip phase-change photonic memory and computing

被引：2

作者：

Cheng, Zengguang ^{[1
]}

Rios, Carlos ^{[1
]}

Youngblood, Nathan ^{[1
]}

Wright, C. David ^{[2
]}

Pernice, Wolfram H. P. ^{[3
]}

Bhaskaran, Harish ^{[1
]}

机构：

[1] Univ Oxford, Dept Mat, 16 Parks Rd, Oxford OX1 3PH, England

[2] Univ Exeter, Dept Engn, Exeter EX4 4QF, Devon, England

[3] Univ Munster, Inst Phys, Heisenbergstr 11, D-48149 Munster, Germany

来源：

ACTIVE PHOTONIC PLATFORMS IX | 2017年 / 10345卷

基金：

英国工程与自然科学研究理事会;

关键词：

On-chip photonics; Phase-change materials; memory; brain-inspired computing; synapse;

D O I：

10.1117/12.2272127

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The use of photonics in computing is a hot topic of interest, driven by the need for ever-increasing speed along with reduced power consumption. In existing computing architectures, photonic data storage would dramatically improve the performance by reducing latencies associated with electrical memories. At the same time, the rise of 'big data' and 'deep learning' is driving the quest for non-von Neumann and brain-inspired computing paradigms. To succeed in both aspects, we have demonstrated non-volatile multi-level photonic memory avoiding the von Neumann bottleneck in the existing computing paradigm and a photonic synapse resembling the biological synapses for brain-inspired computing using phase-change materials (Ge2Sb2Te5).

引用

页数：7

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