Abstract
Holographic memory is currently attracting attention as a data storage system capable of achieving a data transfer rate of about 105~106105~106 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.
Highlights
In recent years, the amount of information exchanged is increasing explosively as the demand for big data increases with the development of artificial intelligence (AI) technology and the densification of information advances with the advent of high-resolution equipment
We propose surface holographic memory that expresses a hologram by fine surface asperity processing, instead of recording a hologram by optical writing as in the conventional method
It is considered necessary to verify the optimal conditions because as the number of the surface hologram was adapted to the collinear holographic memory, the reconstructed image signal pixels decreases, the recording capacity per single page decreases, and as the number of reference contained noise, the though interference fringes theefficiency signal light the reference pixels decreases, shiftunnecessary amount required to reduce the between diffraction of and the reproduced light were removed
Summary
The amount of information exchanged is increasing explosively as the demand for big data increases with the development of artificial intelligence (AI) technology and the densification of information advances with the advent of high-resolution equipment Most of such data is called “Cold Data”, which is not accessed frequently but needs to be stored for a long time. It has not been able to keep up with the demand for high-speed reading and high-speed duplication of ever-growing large-capacity data With such a background, holographic memory is currently attracting attention [1,2,3] as an optical memory that is expected to break through the limits of data transfer rates and achieve about.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
