[15p-A202-1~14] 3.2 Information photonics and image engineering (formerly 3.3)

▲ [15p-A202-12] [The 53rd Young Scientist Presentation Award Speech] Double phase hologram based high-capacity holographic memory

〇Jianying Hao^1,2, Xiaoqing Zheng¹, Xiao Lin¹, Ryushi Fujimura^2,3, Soki Hirayama², Yoshito Tanaka², Xiaodi Tan¹, Tsutomu Shimura² (1.Fujian Normal Univ., 2.The Univ. of Tokyo, 3.Utsunomiya Univ.)

Keywords:Holographic Data Storage, Deep Learning, Double Phase Hologram

The storage capacity of holographic memory is determined by the hologram recording area, the number of holograms multiplexing and the encoding efficiency of one data page. Encoding efficiency can be improved by utilizing multi-dimensional modulation such as complex amplitude. In this report, a double phase hologram (DPH) based complex amplitude-modulated holographic memory is proposed. In the encoding process, only one phase spatial light modulator (SLM) is needed to realize the complex amplitude modulation. In the decoding process, using deep learning to demodulate the complex amplitude from the intensity image captured directly by a detector. A convolutional neural network (CNN) is used to detect the features of the intensity distribution to establish the relationship between the captured intensity and the data pages. After training, the corresponding amplitude and phase data can be inferred directly from the intensity of the reconstructed beam through the trained CNN.