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Experimental Investigation of an Optical Reservoir Computer with MZI-based Optical Mask

Yue, Yuanli, Liu, Shouju, Zhang, Ruibo, Luan, Tianxiang, Zhang, Ailing, Wang, Chao (2023) Experimental Investigation of an Optical Reservoir Computer with MZI-based Optical Mask. In: 2023 International Topical Meeting on Microwave Photonics (MWP). 2023 International Topical Meeting on Microwave Photonics (MWP). . IEEE (doi:10.1109/mwp58203.2023.10416575) (KAR id:105005)

Abstract

In this paper, we have experimentally demonstrated a novel all-optical masking solution in photonic time stretch reservoir computing to eliminate the need of high-speed signal generator for digital masks. By leveraging the high chirp rate generated through an unbalanced Mach-Zehnder Interferometer (MZI) structure, we achieved a random optical mask in the spectral domain. Optical wavelengths, acting as virtual reservoir nodes, enable spectral mixing within the reservoir layer. Thanks to time-spectrum mapping in the photonic time stretch system, equivalent temporal masking is obtained. The develop system exhibits memory capacity through delayed optical feedback process. A full photonic reservoir computing system is implemented. Two experiments of waveform and digit-spoken signal classification have been carried out. Our experimental results show that MZI-based optical mask enables superior performance in photonic time stretch reservoir computing.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/mwp58203.2023.10416575
Additional information: © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
National Natural Science Foundation of China (https://ror.org/01h0zpd94)
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 16 Feb 2024 15:52 UTC
Last Modified: 27 Feb 2024 11:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/105005 (The current URI for this page, for reference purposes)

University of Kent Author Information

Yue, Yuanli.

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Liu, Shouju.

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Luan, Tianxiang.

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Wang, Chao.

Creator's ORCID: https://orcid.org/0000-0002-0454-8079
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