Probabilistic computing with voltage-controlled dynamics in magnetic tunnel junctions
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Probabilistic computing with voltage-controlled dynamics in magnetic tunnel junctionsAutoria
Data de publicació
2023Editor
IOP PublishingCita bibliogràfica
Yixin Shao et al 2023 Nanotechnology 34 495203Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://iopscience.iop.org/article/10.1088/1361-6528/acf6c7Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
Probabilistic (p-) computing is a physics-based approach to addressing computational problems
which are difficult to solve by conventional von Neumann computers. A key requirement for
p-computing is the realization ... [+]
Probabilistic (p-) computing is a physics-based approach to addressing computational problems
which are difficult to solve by conventional von Neumann computers. A key requirement for
p-computing is the realization of fast, compact, and energy-efficient probabilistic bits. Stochastic
magnetic tunnel junctions (MTJs) with low energy barriers, where the relative dwell time in each
state is controlled by current, have been proposed as a candidate to implement p-bits. This
approach presents challenges due to the need for precise control of a small energy barrier across
large numbers of MTJs, and due to the need for an analog control signal. Here we demonstrate
an alternative p-bit design based on perpendicular MTJs that uses the voltage-controlled
magnetic anisotropy (VCMA) effect to create the random state of a p-bit on demand. The MTJs
are stable (i.e. have large energy barriers) in the absence of voltage, and VCMA-induced
dynamics are used to generate random numbers in less than 10 ns/bit. We then show a compact
method of implementing p-bits by using VC-MTJs without a bias current. As a demonstration of
the feasibility of the proposed p-bits and high quality of the generated random numbers, we solve
up to 40 bit integer factorization problems using experimental bit-streams generated by VCMTJs. Our proposal can impact the development of p-computers, both by supporting a fully
spintronic implementation of a p-bit, and alternatively, by enabling true random number
generation at low cost for ultralow-power and compact p-computers implemented in
complementary metal-oxide semiconductor chips. [-]
Publicat a
Nanotechnology, 2023Entitat finançadora
U.S. National Science Foundation (NSF) | Italian Ministry of University and Research (MUR) | PETASPIN association
Codi del projecte o subvenció
2311296 | 1919109 | 2106562 | PRIN 2020LWPKH7
Drets d'accés
info:eu-repo/semantics/openAccess
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