Highly durable and energy‐efficient probabilistic bits based on h‐<scp>BN</scp>/<scp>SnS<sub>2</sub></scp> interface for integer factorization

Abstract As social networks and related data processes have grown exponentially in complexity, the efficient resolution of combinatorial optimization problems has become increasingly crucial. Recent advancements in probabilistic computing approaches have demonstrated significant potential for addressing these problems more efficiently than conventional deterministic computing methods. In this study, we demonstrate a highly durable probabilistic bit (p‐bit) device utilizing two‐dimensional materials, specifically hexagonal boron nitride (h‐BN) and tin disulfide (SnS 2 ) nanosheets. By leveraging the inherently stochastic nature of electron trapping and detrapping at the h‐BN/SnS 2 interface, the device achieves durable probabilistic fluctuations over 10 8 cycles with minimal energy consumption. To mitigate the static power consumption, we integrated an active switch in series with a p‐bit device, replacing conventional resistors. Furthermore, employing the pulse width as the control variable for probabilistic switching significantly enhances noise immunity. We demonstrate the practical application of the proposed p‐bit device in implementing invertible Boolean logic gates and subsequent integer factorization, highlighting its potential for solving complex combinatorial optimization problems and extending its applicability to real‐world scenarios such as cryptographic systems. image

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Publication Details

Journal
InfoMat
Published
2025-03-20
DOI
https://doi.org/10.1002/inf2.70018
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46

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article

Highly durable and energy‐efficient probabilistic bits based on h‐BN/SnS2 interface for integer factorization

Muhammad Farooq Khan, Joon‐Kyu Han, Moon‐Seok Kim, Shania Rehman et al.
2 citations
InfoMat
Advanced Memory and Neural Computing
1.46
article

Highly durable and energy‐efficient probabilistic bits based on h‐BN/SnS2 interface for integer factorization

Muhammad Farooq Khan, Joon‐Kyu Han, Moon‐Seok Kim, Shania Rehman, Jun‐Young Park, Sungho Kim
article en
2 citations

Abstract

Abstract As social networks and related data processes have grown exponentially in complexity, the efficient resolution of combinatorial optimization problems has become increasingly crucial. Recent advancements in probabilistic computing approaches have demonstrated significant potential for addressing these problems more efficiently than conventional deterministic computing methods. In this study, we demonstrate a highly durable probabilistic bit (p‐bit) device utilizing two‐dimensional materials, specifically hexagonal boron nitride (h‐BN) and tin disulfide (SnS 2 ) nanosheets. By leveraging the inherently stochastic nature of electron trapping and detrapping at the h‐BN/SnS 2 interface, the device achieves durable probabilistic fluctuations over 10 8 cycles with minimal energy consumption. To mitigate the static power consumption, we integrated an active switch in series with a p‐bit device, replacing conventional resistors. Furthermore, employing the pulse width as the control variable for probabilistic switching significantly enhances noise immunity. We demonstrate the practical application of the proposed p‐bit device in implementing invertible Boolean logic gates and subsequent integer factorization, highlighting its potential for solving complex combinatorial optimization problems and extending its applicability to real‐world scenarios such as cryptographic systems. image

InfoMatVol. 7(7)
Ewha Womans University (KR), Seoul National University (KR), Hanbat National University (KR), Sejong University (KR)
National Research Foundation of Korea
Openalex Percentile: Top 19%
Advanced Memory and Neural Computing
1.46
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