Controlling the phase locking of stochastic magnetic bits for ultra-low power computation

When fabricating magnetic memories, one of the main challenges is to maintain the bit stability while downscaling. Indeed, for magnetic volumes of a few thousand nm 3 , the energy barrier between magnetic configurations becomes comparable to the thermal energy at room temperature. Then, switches of...

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Veröffentlicht in:Scientific reports 2016-07, Vol.6 (1), p.30535-30535, Article 30535
Hauptverfasser: Mizrahi, Alice, Locatelli, Nicolas, Lebrun, Romain, Cros, Vincent, Fukushima, Akio, Kubota, Hitoshi, Yuasa, Shinji, Querlioz, Damien, Grollier, Julie
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container_issue 1
container_start_page 30535
container_title Scientific reports
container_volume 6
creator Mizrahi, Alice
Locatelli, Nicolas
Lebrun, Romain
Cros, Vincent
Fukushima, Akio
Kubota, Hitoshi
Yuasa, Shinji
Querlioz, Damien
Grollier, Julie
description When fabricating magnetic memories, one of the main challenges is to maintain the bit stability while downscaling. Indeed, for magnetic volumes of a few thousand nm 3 , the energy barrier between magnetic configurations becomes comparable to the thermal energy at room temperature. Then, switches of the magnetization spontaneously occur. These volatile, superparamagnetic nanomagnets are generally considered useless. But what if we could use them as low power computational building blocks? Remarkably, they can oscillate without the need of any external dc drive and despite their stochastic nature, they can beat in unison with an external periodic signal. Here we show that the phase locking of superparamagnetic tunnel junctions can be induced and suppressed by electrical noise injection. We develop a comprehensive model giving the conditions for synchronization and predict that it can be achieved with a total energy cost lower than 10 −13  J. Our results open the path to ultra-low power computation based on the controlled synchronization of oscillators.
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subjects 639/766/119/1001
639/925/927/1062
Humanities and Social Sciences
multidisciplinary
Science
title Controlling the phase locking of stochastic magnetic bits for ultra-low power computation
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