A full-stack view of probabilistic computing with p-bits: Devices, architectures, and algorithms

S Chowdhury, A Grimaldi, NA Aadit… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
The transistor celebrated its 75th birthday in 2022. The continued scaling of the transistor
defined by Moore's law continues, albeit at a slower pace. Meanwhile, computing demands …

Spintronics intelligent devices

W Cai, Y Huang, X Zhang, S Wang, Y Pan, J Yin… - Science China Physics …, 2023 - Springer
Intelligent computing paradigms have become increasingly important for the efficient
processing of massive amounts of data. However, using traditional electronic devices to …

CMOS plus stochastic nanomagnets enabling heterogeneous computers for probabilistic inference and learning

NS Singh, K Kobayashi, Q Cao, K Selcuk, T Hu… - Nature …, 2024 - nature.com
Extending Moore's law by augmenting complementary-metal-oxide semiconductor (CMOS)
transistors with emerging nanotechnologies (X) has become increasingly important. One …

Restricted Boltzmann Machines Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

X Li, C Wan, R Zhang, M Zhao, S **ong, D Kong… - Nano Letters, 2024 - ACS Publications
Artificial intelligence has surged forward with the advent of generative models, which rely
heavily on stochastic computing architectures enhanced by true random number generators …

Experimental demonstration of an on-chip p-bit core based on stochastic magnetic tunnel junctions and 2D MoS2 transistors

J Daniel, Z Sun, X Zhang, Y Tan, N Dilley… - Nature …, 2024 - nature.com
Probabilistic computing is a computing scheme that offers a more efficient approach than
conventional complementary metal-oxide–semiconductor (CMOS)-based logic in a variety of …

Quantitative evaluation of hardware binary stochastic neurons

O Hassan, S Datta, KY Camsari - Physical Review Applied, 2021 - APS
Recently, there has been increasing activity to build dedicated Ising machines to accelerate
the solution of combinatorial optimization problems by expressing these problems as a …

Computational capability for physical reservoir computing using a spin-torque oscillator with two free layers

T Yamaguchi, S Tsunegi, K Nakajima, T Taniguchi - Physical Review B, 2023 - APS
A numerical analysis on the computational capability of physical reservoir computing
utilizing a spin-torque oscillator with two free layers is reported. Conventional spintronics …

Sigmoidal curves of stochastic magnetic tunnel junctions with perpendicular easy axis

K Kobayashi, WA Borders, S Kanai… - Applied Physics …, 2021 - pubs.aip.org
We investigate the physical mechanism governing the sigmoid-like time-averaged response
of stochastic magnetic tunnel junctions (s-MTJ), which is a promising building block for …

Double-free-layer stochastic magnetic tunnel junctions with synthetic antiferromagnets

K Selcuk, S Kanai, R Ota, H Ohno, S Fukami… - Physical Review …, 2024 - APS
Stochastic magnetic tunnel junctions (SMTJs) using low-barrier nanomagnets have shown
promise as fast, energy-efficient, and scalable building blocks for probabilistic computing …

Connecting physics to systems with modular spin-circuits

K Selcuk, S Bunaiyan, NS Singh, S Sayed, S Ganguly… - npj Spintronics, 2024 - nature.com
An emerging paradigm in modern electronics is that of CMOS+ X requiring the integration of
standard CMOS technology with novel materials and technologies denoted by X. In this …