Results 21 to 30 of about 770,655 (252)
Quantifying quantum-amplified metrology via Fisher information
We present a unified framework, based on quantum metrology concepts, for defining and quantifying deterministic noiseless quantum amplification of parameter-dependent processes, which plays an important role in increasing the precision of quantum sensing.
G. S. Agarwal, L. Davidovich
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Mutual Information, Fisher Information, and Population Coding [PDF]
In the context of parameter estimation and model selection, it is only quite recently that a direct link between the Fisher information and information-theoretic quantities has been exhibited. We give an interpretation of this link within the standard framework of information theory.
Brunel, Nicolas, Nadal, Jean-Pierre
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Fisher information of correlated stochastic processes
Many real-world tasks include some kind of parameter estimation, i.e. the determination of a parameter encoded in a probability distribution. Often, such probability distributions arise from stochastic processes.
Marco Radaelli +3 more
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Fisher information of a black hole spacetime
Relativistic quantum metrology is the study of optimal measurement procedures within systems that have both quantum and relativistic components. Here we use Unruh-DeWitt detectors coupled to a massless scalar field as probes of thermal parameters in ...
Everett Patterson, Robert B. Mann
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Quantum Reservoir Parameter Estimation via Fisher Information
In this study, we show that as a result of weak interaction of different information environments structured with a single probe qubit, these environments can perform binary classification of the information they contain.
Deniz Türkpençe, Ufuk Korkmaz
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SEMIPARAMETRIC IDENTIFICATION AND FISHER INFORMATION [PDF]
This paper provides a systematic approach to semiparametric identification that is based on statistical information as a measure of its “quality.” Identification can be regular or irregular, depending on whether the Fisher information for the parameter is positive or zero, respectively.
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Learning Without Forgetting: A New Framework for Network Cyber Security Threat Detection
Progressive learning addresses the problem of incrementally learning new tasks without compromising the prediction accuracy of previously learned tasks. In the context of artificial neural networks, several algorithms exist for achieving the progressive ...
Rupesh Raj Karn +2 more
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Estimating Fisher information in normal population with prior information
This paper is contemplated to propose a class of shrunken estimators which is further used in constructing a class of preliminary test estimators for amount of information in complete samples from normal population when some ‘apriori’ or guessed value of
Housila P. Singh, Sharad Saxena
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A D-Optimal Sequential Calibration Design for Computer Models
The problem with computer model calibration by tuning the parameters associated with computer models is significant in many engineering and scientific applications.
Huaimin Diao, Yan Wang, Dianpeng Wang
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INTRODUCTION TO QUANTUM FISHER INFORMATION [PDF]
The subject of this paper is a mathematical transition from the Fisher information of classical statistics to the matrix formalism of quantum theory. If the monotonicity is the main requirement, then there are several quantum versions parametrized by a function. In physical applications the minimal is the most popular.
Petz, Denes, Ghinea, Catalin
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