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Generation of Tunable Stochastic Sequences Using the Insulator-Metal Transition.

Authors :
Valle JD
Salev P
Gariglio S
Kalcheim Y
Schuller IK
Triscone JM
Source :
Nano letters [Nano Lett] 2022 Feb 09; Vol. 22 (3), pp. 1251-1256. Date of Electronic Publication: 2022 Jan 21.
Publication Year :
2022

Abstract

Probabilistic computing is a paradigm in which data are not represented by stable bits, but rather by the probability of a metastable bit to be in a particular state. The development of this technology has been hindered by the availability of hardware capable of generating stochastic and tunable sequences of "1s" and "0s". The options are currently limited to complex CMOS circuitry and, recently, magnetic tunnel junctions. Here, we demonstrate that metal-insulator transitions can also be used for this purpose. We use an electrical pump/probe protocol and take advantage of the stochastic relaxation dynamics in VO <subscript>2</subscript> to induce random metallization events. A simple latch circuit converts the metallization sequence into a random stream of 1s and 0s. The resetting pulse in between probes decorrelates successive events, providing a true stochastic digital sequence.

Subjects

Subjects :
Probability
Metals

Details

Language :
English
ISSN :
1530-6992
Volume :
22
Issue :
3
Database :
MEDLINE
Journal :
Nano letters
Publication Type :
Academic Journal
Accession number :
35061947
Full Text :
https://doi.org/10.1021/acs.nanolett.1c04404