Towards "smart transceivers" in FPGA-controlled lithium-niobate-on-insulator integrated circuits for edge computing applications [Invited]

被引:0
|
作者
Bankwitz, J. Rasmus [1 ,2 ]
Dijkstra, Jelle [1 ]
Pradip, Ravi [1 ]
McRae, Liam [1 ]
Lomonte, Emma [2 ,3 ]
Lenzini, Francesco [2 ,3 ]
Pernice, Wolfram H. P. [1 ,2 ,3 ]
机构
[1] Heidelberg Univ, Kirchhoff Inst Phys, Heidelberg, Germany
[2] Ctr Nanotechnol CeNTech, Heisenbergstr 11, D-48149 Munster, Germany
[3] Univ Munster, Inst Phys, Wilhelm Klemm Str 10, D-48149 Munster, Germany
基金
欧盟地平线“2020”;
关键词
All Open Access; Gold;
D O I
10.1364/OME.503340
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the realm of advanced computing and signal processing, the need for optimized data processing methodologies is steadily increasing. With the world producing vast quantities of data, computing architectures necessitate to be swifter and more energy efficient. Edge computing architectures such as the NetCast architecture [1] combine the strength of electronic and photonic computing by outsourcing multiply-accumulate operations (MAC) to the optical domain. Herein we demonstrate a hybrid architecture, combining the advantages of FPGA data processing facilitating an ultra-low power electro-optical "smart transceiver" comprised of a lithium-niobate on insulator photonic circuit. The as-demonstrated device combines potential GHz speed data processing, with a power consumption in the order of 6.63 fJ per bit. Our device provides a blueprint of a unit cell for a TFLN smart transceiver alongside a variety of optical computing architectures, such as optical neural networks, as it provides a low power, reconfigurable memory unit.
引用
收藏
页码:3667 / 3676
页数:10
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