Loading…

Skyrmionic interconnect device

The topological properties of skyrmionic quasiparticles such as magnetic skyrmions and skyrmioniums enable their applications in future low-power, ultradense nanocomputing and neuromorphic systems. We propose here an all-magnetic skyrmionic interconnect, which has so far been the “missing component....

Full description

Saved in:
Bibliographic Details
Published in:Physical review research 2020-12, Vol.2 (4), p.043312, Article 043312
Main Authors: Chen, Runze, Li, Yu, Pavlidis, Vasilis F., Moutafis, Christoforos
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The topological properties of skyrmionic quasiparticles such as magnetic skyrmions and skyrmioniums enable their applications in future low-power, ultradense nanocomputing and neuromorphic systems. We propose here an all-magnetic skyrmionic interconnect, which has so far been the “missing component.” This interconnect will be of relevance to future spintronic circuits as well as quantum computing where nanofabricated interconnects need to operate at cryogenic temperatures. Here, we propose a nanoscale skyrmionic interconnect device that exploits topological selectivity to achieve signal multiplexing, thereby reducing the number of interconnects by 50% with no additional overhead for control signals. We utilize systematic micromagnetic calculations to evaluate operational parameters from ideal conditions (0 K) to room temperature in a tailor-designed magnetic multilayer heterostructure in order to demonstrate the potential of a skyrmion-based nanoscale spintronics interconnect. Finally, we introduce pipelining, which is achieved with strategically etched notches, in order to achieve a superior throughput in multiplexing and demultiplexing signals. Our proposal widens the possibilities for future spintronics-based nanocomputing.
ISSN:2643-1564
2643-1564
DOI:10.1103/PhysRevResearch.2.043312