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Trapped Ion Quantum Computing Quantum Simulation

On determining which quantum measurement performs better for state estimation

arXiv
Authors: Jaroslav Rehacek, Yong Siah Teo, Zdenek Hradil

Year

2014

Paper ID

46978

Status

Preprint

Abstract Read

~2 min

Abstract Words

126

Citations

N/A

Abstract

We introduce an operational and statistically meaningful measure, the quantum tomographic transfer function, that possesses important physical invariance properties for judging whether a given informationally complete quantum measurement performs better tomographically in quantum-state estimation relative to other informationally complete measurements. This function is independent of the unknown true state of the quantum source, and is directly related to the average optimal tomographic accuracy of an unbiased state estimator for the measurement in the limit of many sampling events. For the experimentally-appealing minimally complete measurements, the transfer function is an extremely simple formula. We also give an explicit expression for this transfer function in terms of an ordered expansion that is readily computable and illustrate its usage with numerical simulations, and its consistency with some known results.

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  • We introduce an operational and statistically meaningful measure, the quantum tomographic transfer function, that possesses important physical invariance properties for judging...

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