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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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