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Theoretical Study of a Surface Collinear Holographic Memory

1
Institute of Industrial Science, The University of Tokyo, Tokyo 153-5805, Japan
2
Division of Engineering and Agriculture, Utsunomiya University, Tochigi 321-8585, Japan
*
Author to whom correspondence should be addressed.
Photonics 2019, 6(2), 70; https://doi.org/10.3390/photonics6020070
Received: 15 May 2019 / Revised: 10 June 2019 / Accepted: 11 June 2019 / Published: 19 June 2019
(This article belongs to the Special Issue Holographic Optical Memory and Related Technologies)
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Abstract

Holographic memory is currently attracting attention as a data storage system capable of achieving a data transfer rate of about 105~106 times that of an optical disc such as Blu-ray disc. In conventional holographic memory, data is generally recorded by optical writing using volume holograms. However, a volume hologram has the problem not only that it is required to have high mechanical accuracy of a system and low coefficient of thermal expansion of a recording medium, because reconstruction tolerance is extremely low, but also that duplicating time efficiency is poor because whole data cannot be recorded at once. In this paper we proposed surface holographic memory that achieved a high data transfer rate, stable readout performance, and collective duplication by expressing holograms with fine surface asperity. Furthermore, the theoretical formulas of recording and reconstruction processes in the proposed system were derived and the reconstruction characteristics of the hologram were evaluated by numerical simulation. As a result, the proposed method generated reconstructed image readout with sufficient signal for a single page recording. However, the reconstructed image had noise, which was particular to a surface holographic memory. View Full-Text
Keywords: holographic memory; collinear; Raman–Nath diffraction holographic memory; collinear; Raman–Nath diffraction
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Hirayama, S.; Fujimura, R.; Umegaki, S.; Tanaka, Y.Y.; Shimura, T. Theoretical Study of a Surface Collinear Holographic Memory. Photonics 2019, 6, 70.

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