神经形态自旋电子学

arXiv - PHYS - Other Condensed Matter Pub Date : 2024-09-16 DOI:arxiv-2409.10290

Atreya Majumdar, Karin Everschor-Sitte

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引用次数: 0

摘要

神经形态自旋电子学将神经形态计算和自旋电子学这两个先进的技术领域结合起来，利用电子自旋的独特特性，创造出受大脑启发的高效计算系统。在本书的这一章中，我们首先介绍了神经形态计算和自旋电子学这两个领域，然后对神经形态自旋电子学进行了论证。我们讨论了神经形态自旋电子学的具体实例，包括基于波动的计算、人工神经网络和存储计算，强调了它们彻底改变计算效率和功能的潜力。

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Neuromorphic Spintronics

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.

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arXiv - PHYS - Other Condensed Matter

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