Promotion of Probabilistic Bit Generation in Mott Devices by Embedded Metal Nanoparticles

Author:

Seo Yewon12,Park Yunkyu3,Hur Pyeongkang3,Jo Minguk3,Heo Jaeyeong4,Choi Byung Joon5,Son Junwoo12ORCID

Affiliation:

1. Department of Materials Science and Engineering Seoul National University Seoul 08826 Republic of Korea

2. Research Institute of Advanced Materials Seoul National University Seoul 08826 Republic of Korea

3. Department of Materials Science and Engineering Pohang University of Science and Technology (POSTECH) Pohang 37683 Republic of Korea

4. Department of Materials Science and Engineering and Optoelectronics Convergence Research Center Chonnam National University Gwangju 61186 Republic of Korea

5. Department of Materials Science and Engineering Seoul National University of Science and Technology (Seoultech) Seoul 01811 Republic of Korea

Abstract

AbstractConsiderable attention has been drawn to the use of volatile two‐terminal devices relying on the Mott transition for the stochastic generation of probabilistic bits (p‐bits) in emerging probabilistic computing. To improve randomness and endurance of bit streams provided by these devices, delicate control of the transient evolution of switchable domains is required to enhance stochastic p‐bit generation. Herein, it is demonstrated that the randomness of p‐bit streams generated via the consecutive pulse inputs of pump–probe protocols can be increased by the deliberate incorporation of metal nanoparticles (NPs), which influence the transient dynamics of the nanoscale metallic phase in VO2 Mott switches. Among the vertically stacked Pt‐NP‐containing VO2 threshold switches, those with higher Pt NP density show a considerably wider range of p‐bit operation (e.g., up to ≈300% increase in ΔVprobe upon going from (Pt NP/VO2)0 to (Pt NP/VO2)11) and can therefore be operated under the conditions of high speed (400 kbit s−1), low power consumption (14 nJ per bit), and high stability (>105 200 bits) for p‐bit generation. Thus, the study presents a novel strategy that exploits nanoscale phase control to maximize the generation of nondeterministic information sources for energy‐efficient probabilistic computing hardware.

Funder

Ministry of Science and ICT, South Korea

Ministry of Trade, Industry and Energy

Publisher

Wiley

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