The statistical error in any estimation can be reduced by repeating the measurement and averaging the results. The central limit theorem implies that the reduction is proportional to the square root of the number of r...
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The statistical error in any estimation can be reduced by repeating the measurement and averaging the results. The central limit theorem implies that the reduction is proportional to the square root of the number of repetitions. Quantum metrology is the use of quantum techniques such as entanglement to yield higher statistical precision than purely classical approaches. In this Review, we analyse some of the most promising recent developments of this research field and point out some of the new experiments. We then look at one of the major new trends of the field: analyses of the effects of noise and experimental imperfections.
The demand for long-term datastorage in the cloud grows continuously into the zettabytes. Operating at such scales requires a fundamental re-thinking of how we build large-scale storage systems to archive data in a s...
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Digital video recorders (DVRs) for closed-circuit television (CCTV) commonly have an in-built capability to export stored video files to opticalstorage media. In the event that a DVR is damaged, its contents cannot b...
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ISBN:
(纸本)9783642411472;9783642411489
Digital video recorders (DVRs) for closed-circuit television (CCTV) commonly have an in-built capability to export stored video files to opticalstorage media. In the event that a DVR is damaged, its contents cannot be easily exported. This renders the forensically-sound recovery of proprietary-formatted video files with their timestamps from a DVR hard disk an expensive and challenging exercise. This paper presents and validates a technique that enables digital forensic practitioners to carve video files with timestamps without referring to the DVR hard disk filesystem.
A variety of CD and DVD recordable and rewritable disc formats have or shortly will transition into mass market products. Apart from the inherent manufacturing complexity, this development has created very demanding r...
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A variety of CD and DVD recordable and rewritable disc formats have or shortly will transition into mass market products. Apart from the inherent manufacturing complexity, this development has created very demanding requirements on unit manufacturing cost, production yields, and quality. The dynamic storage marketplace has placed additional, constantly evolving demands on product capabilities. All of this is reflected in the current approach to optical disc manufacturing equipment through their emphasis on modularity, flexibility, and upgradeability. The developments in the CD-R arena encapsulate and serve to highlight these issues and will be used as a case study.
The promise of using volume holography to deliver high performance opticalstorage systems is at hand. The possibility of extremely large storage capacities and fast transfer rates make holographic storage ideal for h...
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The promise of using volume holography to deliver high performance opticalstorage systems is at hand. The possibility of extremely large storage capacities and fast transfer rates make holographic storage ideal for high performance video applications. An overview of advances at InPhase Technologies is presented. Progress toward high-density implementations as well as the development of a functional prototype is presented. These systems are the first fully functional holographic recordable drives developed. Their development paves the way for the commercialization of this technology.
NASA Technical Reports Server (Ntrs) 20080039417: Recent advances in Photonic Devices for optical Computing and the Role of Nonlinear Optics-Part II by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 20080039417: Recent advances in Photonic Devices for optical Computing and the Role of Nonlinear Optics-Part II by NASA Technical Reports Server (Ntrs); published by
Recent advances in artificial intelligence (AI) have inspired researchers to explore machine learning (ML)based optimization and reverse design techniques for photonic crystal fibers (PCFs). These studies often seek t...
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Recent advances in artificial intelligence (AI) have inspired researchers to explore machine learning (ML)based optimization and reverse design techniques for photonic crystal fibers (PCFs). These studies often seek to improve model generalization, particularly for data that the model has not previously encountered. Traditional centralized training methods are challenging for devices with limited resources, as they rely on aggregating expansive datasets, which is hindered by constraints in storage capacity and communication efficiency. This paper introduces an innovative distributed framework for optimizing PCF parameters, utilizing decentralized training to amalgamate knowledge across various institutions while maintaining data privacy. Each institution develops a lightweight neural network using a small subset of local data, contributing to the construction of a collective and robust global model. This approach is advantageous for both internal and external applications in PCF engineering. Rigorous empirical experiments conducted with real-world PCF optimization data substantiate the efficacy and benefits of the proposed framework. This framework shows promise in achieving an equilibrium between data protection and resource efficiency, offering a novel platform for the reverse design of microstructured optical fibers.
Pulse-shaping techniques, in which user-specified, ultrashort-pulse fields are synthesized by means of parallel manipulation of optical Fourier components, have now been widely adopted(1-6). Mode-locked lasers produci...
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Pulse-shaping techniques, in which user-specified, ultrashort-pulse fields are synthesized by means of parallel manipulation of optical Fourier components, have now been widely adopted(1-6). Mode-locked lasers producing combs of frequency-stabilized spectral lines have resulted in revolutionary advances in frequency metrology(7-11). However, until recently, pulse shapers addressed spectral lines in groups, at low spectral resolution. Line-by-line pulse shaping(12), in which spectral lines are resolved and manipulated individually, leads to a fundamentally new regime for optical arbitrary waveform generation(13), in which the advantages of pulse shaping and of frequency combs are exploited simultaneously. Here we demonstrate programmable line-by-line shaping of more than 100 spectral lines, which constitutes a significant step in scaling towards high waveform complexity. optical arbitrary waveform generation promises to have an impact both in optical science ( allowing, for example, coherent control generalizations of comb-based time - frequency spectroscopies(10)) and in technology (enabling new truly coherent multiwavelength processing concepts for spread-spectrum lightwave communications and light detection and ranging, lidar).
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