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Diffraction drastically limits the bit density in optical data storage. To increase the storage density, alternative strategies involving supplementary recording dimensions and robust read-out schemes must be explored. Here, we propose to…

Applied Physics · Physics 2020-01-28 Peter R. Wiecha , Aurélie Lecestre , Nicolas Mallet , Guilhem Larrieu

Efficient machine learning inference is essential for the rapid adoption of artificial intelligence across various domains.On-chip optical computing has emerged as a transformative solution for accelerating machine learning tasks, owing to…

Encoding information in light polarization is of great importance in facilitating optical data storage (ODS) for information security and data storage capacity escalation. However, despite recent advances in nanophotonic techniques vastly…

We propose an optical read-out scheme allowing a demonstration of principle of information extraction below the diffraction limit. This technique, which could lead to improvement in data read-out density onto optical discs, is independent…

Quantum Physics · Physics 2009-11-11 Vincent Delaubert , Nicolas Treps , Gao Bo , Claude Fabre

Color centers in wide-bandgap semiconductors feature metastable charge states that can be interconverted with the help of optical excitation at select wavelengths. The distinct fluorescence and spin properties in each of these states have…

Optics · Physics 2024-02-20 Richard Monge , Tom Delord , Carlos A. Meriles

Five-dimensional (5D) optical data storage has emerged as a promising technology for ultra-high-density, long-term data archiving. However, its practical realization is hindered by noise and interference during data readout. In this work,…

Optics · Physics 2025-08-29 Ye Zhang , Qiao Zhu , Rongkuan Zhou , Tatiana Lysak , Chao Wang

We introduce a wavelength-multiplexed massively parallel diffractive information storage platform composed of dielectric surfaces that are structurally optimized at the wavelength scale using deep learning to store and project thousands of…

DNA-based storage is an emerging technology that enables digital information to be archived in DNA molecules. This method enjoys major advantages over magnetic and optical storage solutions such as exceptional information density, enhanced…

Information Theory · Computer Science 2024-03-13 Daniella Bar-Lev , Itai Orr , Omer Sabary , Tuvi Etzion , Eitan Yaakobi

The object of this article is to review the development of ultrahigh-density, nanoscale data storage, i.e., nanostorage. As a fundamentally new type of storage system, the recording mechanisms of nanostorage may be completely different to…

Materials Science · Physics 2007-05-23 J. C. Li

There is an urgent need to increase the global data storage capacity, as current approaches lag behind the exponential growth of data generation driven by the Internet, social media and cloud technologies. In addition to increasing storage…

The rapid proliferation of AI-generated visual media has created an urgent need for efficient, trustworthy deepfake detection systems. However, existing deep learning-based detection methods rely on computationally intensive and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Parnian Ghapandar Kashani , Shiqi Chen , Aydogan Ozcan

To store information at extremely high-density and data-rate, we propose to adapt, integrate, and extend the techniques developed by chemists and molecular biologists for the purpose of manipulating biological and other macromolecules. In…

Emerging Technologies · Computer Science 2017-08-29 M. Mansuripur , P. K. Khulbe , S. M. Kuebler , J. W. Perry , M. S. Giridhar , J. Kevin Erwin , Kibyung Seong , Seth Marder , N. Peyghambarian

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…

The emerging optical multiplexing within nanoscale shows super-capacity in encoding information by using the time-domain fingerprints from uniform nanoparticles. However, the optical diffraction limit compromises the decoding throughput and…

Optics · Physics 2022-08-09 Baolei Liu , Jiayan Liao , Yiliao Song , Jie Lu , Jiajia Zhou , Fan Wang

Differentiable optics, as an emerging paradigm that jointly optimizes optics and (optional) image processing algorithms, has made innovative optical designs possible across a broad range of applications. Many of these systems utilize…

Replacing electrons with photons is a compelling route towards light-speed, highly parallel, and low-power artificial intelligence computing. Recently, all-optical diffractive neural deep neural networks have been demonstrated. However, the…

Signal Processing · Electrical Eng. & Systems 2021-07-19 Xuhao Luo , Yueqiang Hu , Xin Li , Xiangnian Ou , Jiajie Lai , Na Liu , Huigao Duan

Plasmonic color generation utilizing ultra-thin metasurfaces as well as metallic nanoparticles hold a great promise for a wide range of applications, including color displays, data storage, and information encryption due to its high spatial…

We report the experimental observation of slow-light and coherent storage in a setting where light is tightly confined in the transverse directions. By interfacing a tapered optical nanofiber with a cold atomic ensemble, electromagnetically…

Quantum Physics · Physics 2015-05-12 B. Gouraud , D. Maxein , A. Nicolas , O. Morin , J. Laurat

Achieving state-of-the-art optical data storage requires raising device capacity well above commercial standards. This requires media structured at a much smaller scale and enabling readout at a shorter wavelength. Current CDs, DVDs and…

Optics · Physics 2025-11-07 Johann Toudert , Rosalía Serna

As deep neural network (DNN) models grow ever-larger, they can achieve higher accuracy and solve more complex problems. This trend has been enabled by an increase in available compute power; however, efforts to continue to scale electronic…

Emerging Technologies · Computer Science 2020-06-25 Liane Bernstein , Alexander Sludds , Ryan Hamerly , Vivienne Sze , Joel Emer , Dirk Englund
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