Generation of Probabilistic Bits by Exploiting Orthogonal Spin Currents in Magnetic Trilayers

Probabilistic bits (p-bits), non-deterministic classical bits fluctuating between two digital states, constitute a core element in probabilistic computing. This adeptly addresses computationally complex problems, offering some of the envisioned capabilities of quantum computers while mitigating their major challenges such as shielding, cooling, and scalability. A recent study demonstrated the successful integer factorization using nanoscale magnetic tunnel junction (MTJ)-based p-bits. However, their stochasticity originates from the superparamagnetic properties of nanoscale MTJs, rendering p-bits sensitive to the temperature and the dimensions of the device. Here, we demonstrate reliable p-bits based on stochastic spin-orbit torque (SOT) switching in micrometer-sized magnetic trilayers. In a Fe/Ti/CoFeB structure, two spin currents with orthogonal spin polarizations are generated from the Fe/Ti bilayer, and their magnitude and sign determine SOT switching polarity of the top perpendicular CoFeB layer. This enables systematic control of the probability of having a 'UP' magnetization state of the CoFeB by either an external magnetic field or applied current for SOT switching. Furthermore, by harnessing the generated p-bit streams, we effectively demonstrate invertible AND gate operations and stochastic neural networks with improved energy and area efficiency, thus highlighting the potential utility of our p-bits in device applications.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-07-23
DOI
https://doi.org/10.1002/advs.202524371
Primary Topic
Magnetic properties of thin films
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generation of Probabilistic Bits by Exploiting Orthogonal Spin Currents in Magnetic Trilayers

Byong‐Guk Park, Jaeheon Jung, G. H. Lee, Junsaku Nitta et al.
Advanced Science
Magnetic properties of thin films
article

Generation of Probabilistic Bits by Exploiting Orthogonal Spin Currents in Magnetic Trilayers

Byong‐Guk Park, Jaeheon Jung, G. H. Lee, Junsaku Nitta, Seok-Jong Kim, Donghyeon Han, Makoto Kohda, Yunho Jang, Daekyu Koh, Kab‐Jin Kim, Kyung‐Jin Lee, Jeongchun Ryu, Jongsun Park, Chaehyeon Shin, Gwanghyeon Baek, Eunseok Kim, Taehwan Kim, Minseok Kang
article en

Abstract

Probabilistic bits (p-bits), non-deterministic classical bits fluctuating between two digital states, constitute a core element in probabilistic computing. This adeptly addresses computationally complex problems, offering some of the envisioned capabilities of quantum computers while mitigating their major challenges such as shielding, cooling, and scalability. A recent study demonstrated the successful integer factorization using nanoscale magnetic tunnel junction (MTJ)-based p-bits. However, their stochasticity originates from the superparamagnetic properties of nanoscale MTJs, rendering p-bits sensitive to the temperature and the dimensions of the device. Here, we demonstrate reliable p-bits based on stochastic spin-orbit torque (SOT) switching in micrometer-sized magnetic trilayers. In a Fe/Ti/CoFeB structure, two spin currents with orthogonal spin polarizations are generated from the Fe/Ti bilayer, and their magnitude and sign determine SOT switching polarity of the top perpendicular CoFeB layer. This enables systematic control of the probability of having a 'UP' magnetization state of the CoFeB by either an external magnetic field or applied current for SOT switching. Furthermore, by harnessing the generated p-bit streams, we effectively demonstrate invertible AND gate operations and stochastic neural networks with improved energy and area efficiency, thus highlighting the potential utility of our p-bits in device applications.

Advanced Science
Korea Advanced Institute of Science and Technology (KR), Korea University (KR), Tohoku University (JP), NTT Basic Research Laboratories (JP), National Institutes for Quantum Science and Technology (JP), Innovation Cluster (Canada) (CA)
National Research Foundation, National Research Foundation of Korea, Samsung
Affordable and clean energy
Openalex Percentile: Top 10%
Magnetic properties of thin films
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.