Superparamagnetic perpendicular magnetic tunnel junctions for true random number generators

Bradley Parks; Mukund Bapna; Julianne Igbokwe; Hamid Almasi; Weigang Wang; Sara A. Majetich

doi:10.1063/1.5006422

Superparamagnetic perpendicular magnetic tunnel junctions for true random number generators

Bradley Parks, Mukund Bapna, Julianne Igbokwe, Hamid Almasi, Weigang Wang, Sara A. Majetich

Physics

Research output: Contribution to journal › Article › peer-review

51 Scopus citations

Abstract

Superparamagnetic perpendicular magnetic tunnel junctions are fabricated and analyzed for use in random number generators. Time-resolved resistance measurements are used as streams of bits in statistical tests for randomness. Voltage control of the thermal stability enables tuning the average speed of random bit generation up to 70 kHz in a 60 nm diameter device. In its most efficient operating mode, the device generates random bits at an energy cost of 600 fJ/bit. A narrow range of magnetic field tunes the probability of a given state from 0 to 1, offering a means of probabilistic computing.

Original language	English (US)
Article number	055903
Journal	AIP Advances
Volume	8
Issue number	5
DOIs	https://doi.org/10.1063/1.5006422
State	Published - May 1 2018

ASJC Scopus subject areas

General Physics and Astronomy

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10.1063/1.5006422

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AU - Wang, Weigang

AU - Majetich, Sara A.

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AB - Superparamagnetic perpendicular magnetic tunnel junctions are fabricated and analyzed for use in random number generators. Time-resolved resistance measurements are used as streams of bits in statistical tests for randomness. Voltage control of the thermal stability enables tuning the average speed of random bit generation up to 70 kHz in a 60 nm diameter device. In its most efficient operating mode, the device generates random bits at an energy cost of 600 fJ/bit. A narrow range of magnetic field tunes the probability of a given state from 0 to 1, offering a means of probabilistic computing.

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Superparamagnetic perpendicular magnetic tunnel junctions for true random number generators

Abstract

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