Neuromorphic Spintronics
Fuente:
arXiv
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910605368098816 |
|---|---|
| author | Majumdar, Atreya Everschor-Sitte, Karin |
| author_facet | Majumdar, Atreya Everschor-Sitte, Karin |
| contents | Neuromorphic spintronics combines two advanced fields in technology, neuromorphic computing and spintronics, to create brain-inspired, efficient computing systems that leverage the unique properties of the electron's spin. In this book chapter, we first introduce both fields - neuromorphic computing and spintronics and then make a case for neuromorphic spintronics. We discuss concrete examples of neuromorphic spintronics, including computing based on fluctuations, artificial neural networks, and reservoir computing, highlighting their potential to revolutionize computational efficiency and functionality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_10290 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Neuromorphic Spintronics Majumdar, Atreya Everschor-Sitte, Karin Materials Science Mesoscale and Nanoscale Physics Other Condensed Matter Artificial Intelligence Neuromorphic spintronics combines two advanced fields in technology, neuromorphic computing and spintronics, to create brain-inspired, efficient computing systems that leverage the unique properties of the electron's spin. In this book chapter, we first introduce both fields - neuromorphic computing and spintronics and then make a case for neuromorphic spintronics. We discuss concrete examples of neuromorphic spintronics, including computing based on fluctuations, artificial neural networks, and reservoir computing, highlighting their potential to revolutionize computational efficiency and functionality. |
| title | Neuromorphic Spintronics |
| topic | Materials Science Mesoscale and Nanoscale Physics Other Condensed Matter Artificial Intelligence |
| url | https://arxiv.org/abs/2409.10290 |