High-Density Physical Random Number Generator Using Spin Signals in Multidomain Ferromagnetic Layer. (16th February 2015)
- Record Type:
- Journal Article
- Title:
- High-Density Physical Random Number Generator Using Spin Signals in Multidomain Ferromagnetic Layer. (16th February 2015)
- Main Title:
- High-Density Physical Random Number Generator Using Spin Signals in Multidomain Ferromagnetic Layer
- Authors:
- Chun, Sungwoo
Lee, Seung-Beck
Hara, Masahiko
Park, Wanjun
Kim, Song-Ju - Other Names:
- Lukaszew Rosa Academic Editor.
- Abstract:
- Abstract : 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.
- Is Part Of:
- Advances in condensed matter physics. Volume 2015(2015)
- Journal:
- Advances in condensed matter physics
- Issue:
- Volume 2015(2015)
- Issue Display:
- Volume 2015, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 2015
- Issue:
- 2015
- Issue Sort Value:
- 2015-2015-2015-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-02-16
- Subjects:
- Condensed matter -- Periodicals
Condensed matter
Periodicals
530.41 - Journal URLs:
- http://bibpurl.oclc.org/web/50277 ↗
https://www.hindawi.com/journals/acmp/ ↗ - DOI:
- 10.1155/2015/251819 ↗
- Languages:
- English
- ISSNs:
- 1687-8124
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10257.xml