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Non-linear processing with a surface acoustic wave reservoir computer

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Abstract

Reservoir computing is a neural network algorithm that reduces the training needed for a neural network to be function. Recently, reservoir computing has been implemented using MEMs devices with prevalent non-linear dynamics to perform non-linear processing tasks. While partially explored in the past, there has been renewed interest in using Surface Acoustic Wave devices as low energy radio-frequency processors. However they have yet to be explored in the reservoir computing framework. In this work, a 39.16 MHz two-port SAW resonator on chemically reduced YZ Lithium Niobate is design and measured. The quality factor, insertion loss, linear transmission, and non-linear transmission of the devices is measured, and the relationship of these properties to reservoir computing is discussed. The SAW resonator is then configured as a time-multiplexed reservoir, and it’s non-linear processing capabilities are discussed using the time-delayed parity benchmark.

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Data availability

The data generated for use in this paper is available online: https://doi.org/10.5281/zenodo.7939299.

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Acknowledgements

This work is supported by the Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research JSPS KAK-ENHI Grant Number 21F20799 and 22K18289, Tateisi Science and Technology Foundation, and the Telecommunications Advancement Foundation. We also acknowledge technical support from Kyoto University Nanotechnology Hub in the “ARIM Project” sponsored by MEXT, Japan (JPMXP12-22KT1250).

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  1. Department of Microengineering, Kyoto University, Kyoto Daigaku-Katsura C3, Nishikyo-ku, Kyoto, 615-8540, Japan

    Claude Meffan, Taiki Ijima, Amit Banerjee, Jun Hirotani & Toshiyuki Tsuchiya

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  1. Claude Meffan
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  2. Taiki Ijima
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  3. Amit Banerjee
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Correspondence to Claude Meffan.

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Meffan, C., Ijima, T., Banerjee, A. et al. Non-linear processing with a surface acoustic wave reservoir computer. Microsyst Technol 29, 1197–1206 (2023). https://doi.org/10.1007/s00542-023-05463-4

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  • DOI: https://doi.org/10.1007/s00542-023-05463-4

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