Demonstration of in-plane magnetized stochastic magnetic tunnel junction for binary stochastic neuron

A binary stochastic neuron (BSN) or a probabilistic bit (p-bit) randomly fluctuates between digitized “0” and “1” with a controllable functionality of time-averaged value. Such an unconventional bit is the most essential building block for the recently proposed stochastic neural networks and probabi...

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Veröffentlicht in:AIP advances 2022-07, Vol.12 (7), p.075104-075104-6
Hauptverfasser: Kim, Taeyueb, Park, HeeGyum, Han, Ki-Hyuk, Nah, Young-Jun, Koo, Hyun Cheol, Min, Byoung-Chul, Hong, Seokmin, Lee, OukJae
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Sprache:eng
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Zusammenfassung:A binary stochastic neuron (BSN) or a probabilistic bit (p-bit) randomly fluctuates between digitized “0” and “1” with a controllable functionality of time-averaged value. Such an unconventional bit is the most essential building block for the recently proposed stochastic neural networks and probabilistic computing. Here, we experimentally implement a magnetic tunnel junction (MTJ) for BSN, with relaxation times on the order of tens of milliseconds that can be modulated by a current-induced spin-transfer torque. The NIST Statistical Test Suite (800-22a) is used to verify true random number generation by the BSN-MTJ device. Our results suggest the possibility of using the artificial BSN MTJ device in neuromorphic applications as well as in a recently proposed probabilistic computing.
ISSN:2158-3226
2158-3226
DOI:10.1063/5.0090577