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Generation of Tunable Stochastic Sequences Using the Insulator-Metal Transition.
- 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 :
- Probability
Metals
Subjects
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