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High-Density Physical Random Number Generator Using Spin Signals in Multidomain Ferromagnetic Layer
Joint Authors
Chun, Sungwoo
Lee, Seung-Beck
Park, Wanjun
Kim, Song-Ju
Hara, Masahiko
Source
Advances in Condensed Matter Physics
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A high-density random number generator (RNG) based on spin signals in a multidomain ferromagnetic layer in a magnetic tunnel junction (MTJ) is proposed and fabricated.
Unlike conventional spin-based RNGs, the proposed method does not require one to control an applied current, leading to a time delay in the system.
RNG demonstrations are performed at room temperature.
The randomness of the bit sequences generated by the proposed RNG is verified using the FIPS 140-2 statistical test suite provided by the NIST.
The test results validate the effectiveness of the proposed RNGs.
Our results suggest that we can obtain high-density, ultrafast RNGs if we can achieve high integration on the chip.
American Psychological Association (APA)
Chun, Sungwoo& Lee, Seung-Beck& Hara, Masahiko& Park, Wanjun& Kim, Song-Ju. 2015. High-Density Physical Random Number Generator Using Spin Signals in Multidomain Ferromagnetic Layer. Advances in Condensed Matter Physics،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1052238
Modern Language Association (MLA)
Chun, Sungwoo…[et al.]. High-Density Physical Random Number Generator Using Spin Signals in Multidomain Ferromagnetic Layer. Advances in Condensed Matter Physics No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1052238
American Medical Association (AMA)
Chun, Sungwoo& Lee, Seung-Beck& Hara, Masahiko& Park, Wanjun& Kim, Song-Ju. High-Density Physical Random Number Generator Using Spin Signals in Multidomain Ferromagnetic Layer. Advances in Condensed Matter Physics. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1052238
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052238