Results 31 to 40 of about 795,540 (289)
Characterizing (non-)Markovianity through Fisher information
A non-isolated physical system typically loses information to its environment, and when such loss is irreversible the evolution is said to be Markovian.
Paolo Abiuso, Matteo Scandi, Dario De Santis, Jacopo Surace
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Sub-quantum Fisher information [PDF]
Abstract The quantum Fisher information (QFI) plays a crucial role in quantum information theory and in many practical applications such as quantum metrology. However, computing the QFI is generally a computationally demanding task.
M Cerezo +3 more
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Fisher Information in Noisy Intermediate-Scale Quantum Applications [PDF]
The recent advent of noisy intermediate-scale quantum devices, especially near-term quantum computers, has sparked extensive research efforts concerned with their possible applications.
Johannes Jakob Meyer
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Dynamics of the Fisher information metric [PDF]
11 ...
Calmet, X., Calmet, J.
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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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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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