Application of τc*Pd in earthquake early warning

Huang, Po Lun; Lin, Tsair-Fuh; Wu, Yih‐Min

doi:10.1002/2014gl063020

Cited by 30 publications

(12 citation statements)

References 18 publications

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“…By now, many experimental demonstrations underlined the feasibility of CV-QKD with coherent states. [14][15][16][17][18][19][20][21][22][23][24][25] The experimental performance of these works has to be evaluated in the context of the various settings and assumptions that the respective authors applied and are therefore difficult to compare. After all, a CV-QKD setup is primarily appraised by the secure-key rate that can be achieved over a given transmission distance.…”

Section: Introductionmentioning

confidence: 99%

“…[26][27][28][29][30][31][32][33] This is why recent works are focusing on different methods to avoid the transmission of the local oscillator and to generate it at the receiver lab instead (often referred to as "true local oscillator" or "local local oscillator" [LLO]). [18][19][20]22,24,25,34] Some of the latest papers demonstrated the feasibility of a secure-key rate of a few Mbit s −1 over a channel length of some tens of kilometres using an LLO scheme. [24,25] A good overview of the state-of-the-art in GM CV-QKD and the security of various protocols is given in ref.…”

Section: Introductionmentioning

confidence: 99%

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Continuous‐Variable Quantum Key Distribution with Gaussian Modulation—The Theory of Practical Implementations

et al. 2018

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Quantum key distribution (QKD) using weak coherent states and homodyne detection is a promising candidate for practical quantum‐cryptographic implementations due to its compatibility with existing telecom equipment and high detection efficiencies. However, despite the actual simplicity of the protocol, the security analysis of this method is rather involved compared to discrete‐variable QKD. This article reviews the theoretical foundations of continuous‐variable quantum key distribution (CV‐QKD) with Gaussian modulation and rederives the essential relations from scratch in a pedagogical way. The aim of this paper is to be as comprehensive and self‐contained as possible in order to be well intelligible even for readers with little pre‐knowledge on the subject. Although the present article is a theoretical discussion of CV‐QKD, its focus lies on practical implementations, taking into account various kinds of hardware imperfections and suggesting practical methods to perform the security analysis subsequent to the key exchange. Apart from a review of well‐known results, this manuscript presents a set of new original noise models which are helpful to get an estimate of how well a given set of hardware will perform in practice.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Continuous‐Variable Quantum Key Distribution with Gaussian Modulation—The Theory of Practical Implementations

et al. 2018

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“…The correlation of TP and magnitude was proposed by Huang et al (2015), which has correlations with τ c and P d , and TP is defined as:…”

Section: The Input Parametersmentioning

confidence: 99%

Magnitude Estimation for Earthquake Early Warning Using a Deep Convolutional Neural Network

Zhu

Song

et al. 2021

Front. Earth Sci.

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Magnitude estimation is a vital task within earthquake early warning (EEW) systems (EEWSs). To improve the magnitude determination accuracy after P-wave arrival, we introduce an advanced magnitude prediction model that uses a deep convolutional neural network for earthquake magnitude estimation (DCNN-M). In this paper, we use the inland strong-motion data obtained from the Japan Kyoshin Network (K-NET) to calculate the input parameters of the DCNN-M model. The DCNN-M model uses 12 parameters extracted from 3 s of seismic data recorded after P-wave arrival as the input, four convolutional layers, four pooling layers, four batch normalization layers, three fully connected layers, the Adam optimizer, and an output. Our results show that the standard deviation of the magnitude estimation error of the DCNN-M model is 0.31, which is significantly less than the values of 1.56 and 0.42 for the τc method and Pd method, respectively. In addition, the magnitude prediction error of the DCNN-M model is not affected by variations in the epicentral distance. The DCNN-M model has considerable potential application in EEWSs in Japan.

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“…4(b)), including amplitude and phase modulation and shot noise limited homodyne detection using germanium (Ge) photodiodes. Further system integration is feasible and particularly relevant in the context of new advances in this field, towards high-speed CV-QKD systems using a locally generated phase reference signal [89,90,91].…”

Section: (A) (B)mentioning

confidence: 99%

Recent advances on integrated quantum communications

Orieux

Diamanti

2016

J. Opt.

135

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In recent years, the use of integrated technologies for applications in the field of quantum information processing and communications has made great progress. The resulting devices feature valuable characteristics such as scalability, reproducibility, low cost and interconnectivity, and have the potential to revolutionize our computation and communication practices in the future, much in the way that electronic integrated circuits have drastically transformed our information processing capacities since the last century. Among the multiple applications of integrated quantum technologies, this review will focus on typical components of quantum communication systems and on overall integrated system operation characteristics. We are interested in particular in the use of photonic integration platforms for developing devices necessary in quantum communications, including sources, detectors and both passive and active optical elements. We also illustrate the challenges associated with performing quantum communications on chip, by using the case study of quantum key distribution -the most advanced application of quantum information science. We conclude with promising perspectives in this field. Recent advances on integrated quantum communicationsRecent advances on integrated quantum communications 3 various important features, including for example the necessity to use foundry services and compatibility with mass manufacturing processes, the ability to support nonlinear and electro-optic effects and single-photon detection, the compatibility with specific encodings of quantum information, such as polarization, path, and time bins, and the adaptivity to a practical communication network infrastructure. The prevailing platforms for such applications can be described as follows:• Silicon-based platforms [3], which include silicon (Si) as well as silicon nitride (SiN) and silicon carbide (SiC), provide popular solutions as they combine several appealing characteristics. The global prevalence of the Si integration platform for electronics applications has ensured that all the physical and technological attributes of this platform have been fully examined. The existing silicon-based CMOS (Complementary Metal-Oxide-Semiconductor) wafer fabrication facilities open up vast possibilities for cost-effective solutions featuring high yield and reproducibility. Indeed, silicon-on-insulator (SOI) photonics has become a key technology for applications in telecommunications, optical interconnects, medical screening, spectroscopy, biology and chemical sensing, which were inconceivable a few years ago. This technology offers in general waveguides with a very high refractive index, allowing for an increased circuit compactness even for complex layouts involving many elements. Additionally, the high electric field intensity resulting from the extreme mode confinement is beneficial for nonlinear effects. These favorable characteristics, however, come at the expense of poor mode-matching with optical fibers, which is the privileged channel f...

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Application of *τ_c**Pd in earthquake early warning

Cited by 30 publications

References 18 publications

Continuous‐Variable Quantum Key Distribution with Gaussian Modulation—The Theory of Practical Implementations

Continuous‐Variable Quantum Key Distribution with Gaussian Modulation—The Theory of Practical Implementations

Magnitude Estimation for Earthquake Early Warning Using a Deep Convolutional Neural Network

Recent advances on integrated quantum communications

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