Spin Wave Computing using pre-recorded magnetization patterns

We propose a novel type of a spin wave computing device, based on a bilayer structure which includes a bias layer, made from a hard magnetic material and a propagation layer, made from a magnetic material with low damping, for example, Yttrium Garnet (YiG) or Permalloy. The bias layer maintains a st...

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Bibliographic Details
Published in:arXiv.org 2021-08
Main Authors: Rivkin, Kirill, Montemorra, Michael
Format: Article
Language:English
Subjects:
Bias
Computation
Damping
Ferrous alloys
Fourier transforms
Magnetic alloys
Magnetic materials
Magnetic properties
Magnetism
Magnetization
Magnons
Mathematical analysis
Multiplication
Propagation
Scatter propagation
Search algorithms
Wave propagation
Yttrium
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Summary:We propose a novel type of a spin wave computing device, based on a bilayer structure which includes a bias layer, made from a hard magnetic material and a propagation layer, made from a magnetic material with low damping, for example, Yttrium Garnet (YiG) or Permalloy. The bias layer maintains a stable pre-recorded magnetization pattern, generating a bias field with a desired spatial dependence, which in turn sets the equilibrium magnetization inside the propagation layer. When an external source applies an RF field or spinwave to the propagation layer, excited spin waves scatter on the magnetization's inhomogenuities, resulting in a complex interference behavior. One thus has the ability to adjust spin wave propagation properties simply by altering the magnetization in the bias layer. We demonstrate that the phenomenon can be utilized to perform a variety of computational operations, including Fourier Transform, Vector-Matrix multiplication and Grover search algorithm, with the operational parameters exceeding conventional designs by orders of magnitude.
ISSN:2331-8422
DOI:10.48550/arxiv.2108.00909