Neuromorphic computing with antiferromagnetic spintronics

Antiferromagnetic metal spintronics.

In this brief review, we explain the theoretical basis for the notion that spin-transfer torques (STTs) and giant-magnetoresistance effects can, in principle, occur in circuits containing only normal and antiferromagnetic (AFM) materials, and for the notion that antiferromagnets can play a role in STT phenomena in circuits containing both ferromagnetic and AFM elements. We review the experiment...

Spintronics and Quantum Computing with Quantum Dots

The creation, coherent manipulation, and measurement of spins in nanostructures open up completely new possibilities for electronics and information processing, among them quantum computing and quantum communication. We review our theoretical proposal for using electron spins in quantum dots as quantum bits. We present singleand two qubit gate mechanisms in laterally as well as vertically coupl...

Book Review: Spintronics-Based Computing

If you’re a casual reader looking for a spellbinding page-turner, or a curious amateur technophile, this is not the book for you. It is filled with grammatical errors and clumsy diction, the tone is as dry as the Gobi Desert, and there is no graceful introduction beyond the excellent summary in the short Foreword by Albert Fert. After that the various authors plunge directly into advanced techn...

Tutorial: Neuromorphic computing

ReRAM-Based Neuromorphic Computing

Artificial neural networks are currently being used as a promising means to solve problems in machine learning and computer science [1–3]. These networks are loosely inspired by massively parallel biological neural systems, but they are often implemented on mostly sequential hardware computing platforms, ignoring key features of real neural processing systems, such as their ability to carry out...