Asymptotic estimation theory for a finite dimensional pure state model

Preprint

11 September 1997

preprint
Published by arXiv in arXiv

Abstract

The optimization of measurement for n samples of pure sates are studied. The error of the optimal measurement for n samples is asymptotically compared with the one of the maximum likelihood estimators from n data given by the optimal measurement for one sample.

Keywords

MAXIMUM LIKELIHOOD ESTIMATORS
MODEL THE OPTIMIZATION
ASYMPTOTIC ESTIMATION
OPTIMAL MEASUREMENT
ESTIMATION THEORY
DIMENSIONAL PURE
STATE MODEL
PURE STATE

All Related Versions

Version 1, 1997-04-24, ArXiv
Version 2, 1997-09-11, ArXiv
Version 3, 1999-04-07, ArXiv
Published version: Journal of Physics A: General Physics, 31 (20), 4633.

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