计算机科学
计算机数据存储
三维光学数据存储
杠杆(统计)
光存储
利用
数据科学
人工智能
计算机硬件
计算机安全
操作系统
作者
Zhao Yan,Junbo Hu,Zuoli Xiao,Dong Xie,Qiang Cao,Zongsong Gan,Jingyu Zhang
出处
期刊:Chinese Optics Letters
[Shanghai Institute of Optics and Fine Mechanics]
日期:2023-01-01
卷期号:21 (12): 120051-120051
标识
DOI:10.3788/col202321.120051
摘要
The ongoing quest for higher data storage density has led to a plethora of innovations in the field of optical data storage. This review paper provides a comprehensive overview of recent advancements in next-generation optical data storage, offering insights into various technological roadmaps. We pay particular attention to multidimensional and superresolution approaches, each of which uniquely addresses the challenge of dense storage. The multidimensional approach exploits multiple parameters of light, allowing for the storage of multiple bits of information within a single voxel while still adhering to diffraction limitation. Alternatively, superresolution approaches leverage the photoexcitation and photoinhibition properties of materials to create diffraction-unlimited data voxels. We conclude by summarizing the immense opportunities these approaches present, while also outlining the formidable challenges they face in the transition to industrial applications.
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