2025/03/28 by Jie Ma, Chu-Han Wang, Ma, Jie +11 · 1 citation
Computer Science · Materials Science · #Advanced Data Storage Technologies #Cellular Automata and Applications #FOS: Physical sciences #Optics (physics.optics) #Phase-change materials and chalcogenides
paper · pdf · doi:10.48550/arxiv.2503.22355
openalex publication_date 2025/03/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In the information explosion era, the demand for high-density stable storage technologies is soaring. Multi-dimensional optical storage with femtosecond laser writing offers a potential solution for massive data storage. However, equipment instability and reduced voxel resolution inevitably lead to data errors. Here, we propose and demonstrate a paradigm exemplifying high-fidelity eternal lifetime optical storage enabled by error correction mechanism. We increase information density by reducing voxel size and spacing. Leveraging deep learning methods, we achieve 8-bit voxel encoding and a storage capacity of 2.15 Tb/disc. We implement the Reed-Solomon(RS) algorithm for errorfree data recovery and get the trade-off between the storage capacity and the redundancy length. Our storage paradigm takes advantage of error-correcting codes, together with permanent information storage capabilities of extremely stable fused silica, marking a significant advancement for recording massive data to the application level and making it possible to faithfully record the information generated in human civilization.