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Probabilistic computing using Cu0.1Te0.9/HfO2/Pt diffusive memristors
Cited 19 time in
Web of Science
Cited 24 time in Scopus
- Authors
- Issue Date
- 2022-09
- Publisher
- Nature Publishing Group
- Citation
- Nature Communications, Vol.13 No.1, p. 5762
- Abstract
- A computing scheme that can solve complex tasks is necessary as the big data field proliferates. Probabilistic computing (p-computing) paves the way to efficiently handle problems based on stochastic units called probabilistic bits (p-bits). This study proposes p-computing based on the threshold switching (TS) behavior of a Cu0.1Te0.9/HfO2/Pt (CTHP) diffusive memristor. The theoretical background of the p-computing resembling the Hopfield network structure is introduced to explain the p-computing system. P-bits are realized by the stochastic TS behavior of CTHP diffusive memristors, and they are connected to form the p-computing network. The memristor-based p-bit is likely to be '0' and '1', of which probability is controlled by an input voltage. The memristor-based p-computing enables all 16 Boolean logic operations in both forward and inverted operations, showing the possibility of expanding its uses for complex operations, such as full adder and factorization.
- ISSN
- 2041-1723
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