Journal Article10.1109/LED.2017.2768321
Implementing p-bits With Embedded MTJ
202
TL;DR: It is shown that a voltage driven p-bit can be implemented simply by incorporating existing RNGs into a transistor circuit using experimentally demonstrated 2-terminal MTJs, without requiring a new device.
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Abstract: Magnetic tunnel junctions (MTJs) utilizing unstable magnets with low barriers have been shown to be well-suited for the implementation of random number generators (RNGs). It has recently been shown that completely new applications involving optimization, inference, and invertible Boolean logic would be enabled if many RNGs can be interconnected to form large scale correlated networks. However, this requires a new device, namely, a three-terminal tunable RNG or a p-bit, whose input terminal can be used to pin its output to 0 or 1. In this letter, we show that a voltage driven p-bit can be implemented simply by incorporating existing RNGs into a transistor circuit using experimentally demonstrated 2-terminal MTJs, without requiring a new device. Using established SPICE models, we show that this proposed p-bit can be interconnected to build correlated p-circuits to implement useful functionalities including a representative example of an invertible AND gate that “factors” the output of an AND gate into consistent input combinations.
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Citations
Integer factorization using stochastic magnetic tunnel junctions
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The promise of spintronics for unconventional computing
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TL;DR: In this article, the authors discuss how spintronics may aid in the realization of efficient devices, primarily focusing on magnetic tunnel junctions, and provide a perspective on how these devices can impact the development of three unconventional computing paradigms, namely, reservoir computing, probabilistic computing and memcomputing.
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Demonstration of Nanosecond Operation in Stochastic Magnetic Tunnel Junctions.
Christopher Safranski,Jan Kaiser,Philip L. Trouilloud,Pouya Hashemi,Guohan Hu,Jonathan Z. Sun +5 more
TL;DR: Experimental evidence of nanosecond scale fluctuations in a circular-shaped easy-plane magnetic tunnel junction is provided, consistent with finite-temperature coupled macrospin simulation results and prior theoretical expectations.
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Nanosecond Random Telegraph Noise in In-Plane Magnetic Tunnel Junctions.
Keisuke Hayakawa,Shun Kanai,T. Funatsu,Junta Igarashi,Butsurin Jinnai,William A. Borders,Hideo Ohno,Shunsuke Fukami +7 more
TL;DR: In this paper, the authors study the timescale of random telegraph noise (RTN) of nanomagnets in stochastic magnetic tunnel junctions (MTJ).
113
References
Introduction to algorithms: 4. Turtle graphics
TL;DR: In this article, a language similar to logo is used to draw geometric pictures using this language and programs are developed to draw geometrical pictures using it, which is similar to the one we use in this paper.
15.4K
Spintronics: Fundamentals and applications
TL;DR: Spintronics, or spin electronics, involves the study of active control and manipulation of spin degrees of freedom in solid-state systems as discussed by the authors, where the primary focus is on the basic physical principles underlying the generation of carrier spin polarization, spin dynamics, and spin-polarized transport.
Introduction to Algorithms
Xin-She Yang
- 01 Jan 2014
TL;DR: This chapter provides an overview of the fundamentals of algorithms and their links to self-organization, exploration, and exploitation.
8.3K
Nanoscale Memristor Device as Synapse in Neuromorphic Systems
TL;DR: A nanoscale silicon-based memristor device is experimentally demonstrated and it is shown that a hybrid system composed of complementary metal-oxide semiconductor neurons and Memristor synapses can support important synaptic functions such as spike timing dependent plasticity.
Single-Domain Circular Nanomagnets
TL;DR: The magnetic properties of deep submicron circular nanomagnets fabricated by high-resolution electron beam lithography from Supermalloy have been studied as a function of both diameter (500-55 nm) and thickness (6-15 nm) as discussed by the authors.
1.2K