Victor H. González , Artem Litvinenko , Akash Kumar , Roman Khymyn , Johan Åkerman
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引用次数: 0
Abstract
The ever increasing demand for computational power combined with the predicted plateau for the miniaturization of existing silicon-based technologies has made the search for low power alternatives an industrial and scientifically engaging problem. In this work, we explore spintronics-based Ising machines as hardware computation accelerators. We start by presenting the physical platforms on which this emerging field is being developed, the different control schemes and the type of algorithms and problems on which these machines outperform conventional computers. We then benchmark these technologies and provide an outlook for future developments and use-cases that can help them get a running start for integration into the next generation of computing devices.
期刊介绍:
Title: Current Opinion in Solid State & Materials Science
Journal Overview:
Aims to provide a snapshot of the latest research and advances in materials science
Publishes six issues per year, each containing reviews covering exciting and developing areas of materials science
Each issue comprises 2-3 sections of reviews commissioned by international researchers who are experts in their fields
Provides materials scientists with the opportunity to stay informed about current developments in their own and related areas of research
Promotes cross-fertilization of ideas across an increasingly interdisciplinary field