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Optimal Quantum State Estimation by No-Signaling Principle
No-Signaling Principle Quantum Physics
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2010/11/8
We obtain a simple derivation of the optimal quantum state estimation of a two-level system using the no-signaling principle. In particular, we show that the no-signaling principle determines the uni...
Estimation of compact binary coalescense rates from short gamma-ray burst redshift measurements
Estimation of compact binary coalescense rates short gamma-ray redshift measurements
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2010/12/21
Short gamma-ray bursts are believed to originate from the merger of two compact objects. If this scenario is correct, these bursts will be accompanied by the emission of strong gravitational waves, de...
Uncertainty Relation Revisited from Quantum Estimation Theory
Uncertainty Relation Revisited Quantum Estimation Theory
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2010/11/5
By invoking quantum estimation theory we formulate the uncertainty relation for arbitrary quantum states and measurements in a finite-dimensional Hilbert space. To obtain information about the quantum...
Connections of geometric measure of entanglement of pure symmetric states to quantum state estimation
Connections geometric measure entanglement pure symmetric states quantum state estimation
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2010/11/5
We study the geometric measure of entanglement (GM) of pure symmetric states related to rank-one positive-operator-valued measures (POVMs) and establish a general connection with quantum state estimat...
On quantum estimation, quantum cloning and finite quantum de Finetti theorems
On quantum estimation quantum cloning finite quantum de Finetti theorems
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2010/11/4
This paper presents a series of results on the interplay between quantum estimation, cloning and finite de Finetti theorems. First, we consider the measure-and-prepare channel that uses optimal estim...
Sequential parameter estimation for stochastic systems
Sequential parameter estimation stochastic systems
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2009/11/12
The quality of the prediction of dynamical system evolution is determined by the accuracy to which initial conditions and forcing are known. Availability of future observations permits reducing the ef...
Model error estimation in ensemble data assimilation
Model error estimation ensemble data assimilation
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2009/11/2
A new methodology is proposed to estimate and account for systematic model error in linear filtering as well as in nonlinear ensemble based filtering. Our results extend the work of Dee and Todling (2...
Bayesian estimation in homodyne interferometry
Bayesian estimation homodyne interferometry
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2010/4/8
We address phase-shift estimation by means of squeezed vacuum probe and homodyne detection. We analyze Bayesian estimator, which is known to asymptotically saturate the classical Cramer-Rao bound to t...
Estimation on Local Energy Density in Relativistic Heavy Ion
Collisions
CM energy background evolution
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2007/8/15
2003Vol.39No.2pp.189-192DOI:
Estimation on Local Energy Density in Relativistic Heavy Ion
Collisions
MA Zhong-Biao,1 MIAO Hong,1 and GAO Chong-Shou1,2
1 Department of P...