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Open AccessJournal ArticleDOI

Phase-Binarized Spin Hall Nano-Oscillator Arrays: Towards Spin Hall Ising Machines

TLDR
In this paper , the authors demonstrate a pathway towards an oscillator-based IM using arrays of nanoconstriction spin Hall nano-oscillators (SHNOs) and show how SHNOs can be readily phase binarized and how their resulting microwave power corresponds to well defined global phase states.
Abstract
Ising machines (IMs) are physical systems designed to find solutions to combinatorial optimization (CO) problems mapped onto the IM via the coupling strengths between its binary spins. Using its intrinsic dynamics and different annealing schemes, the IM relaxes over time to its lowest-energy state, which is the solution to the CO problem. IMs have been implemented on different platforms, and interacting nonlinear oscillators are particularly promising candidates. Here we demonstrate a pathway towards an oscillator-based IM using arrays of nanoconstriction spin Hall nano-oscillators (SHNOs). We show how SHNOs can be readily phase binarized and how their resulting microwave power corresponds to well-defined global phase states. To distinguish between degenerate states, we use phase-resolved Brillouin-light-scattering microscopy and directly observe the individual phase of each nanoconstriction. Micromagnetic simulations corroborate our experiments and confirm that our proposed IM platform can solve CO problems, showcased by how the phase states of a $2\ifmmode\times\else\texttimes\fi{}2$ SHNO array are solutions to a modified max-cut problem. Compared with the commercially available D-Wave ${\mathrm{Advantage}}^{\mathrm{TM}}$, our architecture holds significant promise for faster sampling, substantially reduced power consumption, and a dramatically smaller footprint.

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Journal ArticleDOI

Quantum materials for energy-efficient neuromorphic computing: Opportunities and challenges

TL;DR: This Perspective discusses select examples of quantum-material-based devices for neuromorphic functionalities into larger emergent complex network systems and provides an outlook on the current opportunities and challenges.
Journal ArticleDOI

Fabrication of voltage-gated spin Hall nano-oscillators

TL;DR: In this article , an optimized fabrication process for electric field (voltage gate) controlled nano-constriction spin Hall nano-oscillators (SHNOs), achieving feature sizes of <30 nm with easy to handle ma-N 2401 e-beam lithography negative tone resist.
Journal ArticleDOI

Ultrathin Ferrimagnetic GdFeCo Films with Low Damping

TL;DR: In this paper , a nearly compensated behavior is observed in 2 nm Gdx(Fe87.5Co12.5)1−x thin films in the thickness range t = 2-20 nm.
Journal ArticleDOI

Optothermal control of spin Hall nano-oscillators

TL;DR: In this paper , the authors investigate the impact of localized laser heating on the auto-oscillation properties of a 170 nm wide nano-constriction spin Hall nano-oscillators (SHNOs) fabricated from a NiFe/Pt bilayer on a sapphire substrate.
References
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Book

The general problem of the stability of motion

TL;DR: In this article, the general problem of the stability of motion is considered and the authors propose a solution to the problem of stability in the stability-of-motion (SOM) problem.
Journal ArticleDOI

The design and verification of Mumax3

TL;DR: In this paper, the authors report on the design, verification and performance of mumax3, an open-source GPU-accelerated micromagnetic simulation program that solves the time and space dependent magnetization evolution in nano-to micro-scale magnets using a finite-difference discretization.
Journal ArticleDOI

The design and verification of MuMax3

TL;DR: The design, verification and performance of MUMAX3, an open-source GPU-accelerated micromagnetic simulation program that solves the time- and space dependent magnetization evolution in nano- to micro scale magnets using a finite-difference discretization is reported on.
Journal ArticleDOI

A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problem

TL;DR: For the small examples that the authors could simulate, the quantum adiabatic algorithm worked well, providing evidence that quantum computers (if large ones can be built) may be able to outperform ordinary computers on hard sets of instances of NP-complete problems.
Journal ArticleDOI

A Study of Locking Phenomena in Oscillators

R. Adler
TL;DR: In this paper, a differential equation is derived which gives the oscillator phase as a function of time, and with the aid of this equation, the transient process of "pull-in" as well as the production of distorted beat note are described in detail.
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