Relating measurement disturbance, information and orthogonality
Yizhou Liu, John B. DeBrota

TL;DR
This paper explores the fundamental relationship between measurement disturbance, information gain, and orthogonality in quantum measurements, establishing a trade-off relation and identifying symmetric informationally complete measurements as optimal.
Contribution
It introduces a quantitative framework linking disturbance, measurement strength, and orthogonality, and characterizes symmetric informationally complete measurements as optimal in quantum measurement theory.
Findings
Established an information-disturbance trade-off relation involving orthogonality.
Identified symmetric informationally complete measurements as optimal quantum measurements.
Analyzed various measurement classes to assess their disturbance and information properties.
Abstract
In the general theory of quantum measurement, one associates a positive semidefinite operator on a -dimensional Hilbert space to each of the possible outcomes of an arbitrary measurement. In the special case of a projective measurement, these operators are pairwise Hilbert--Schmidt orthogonal, but when , orthogonality is restricted by positivity. This restriction allows us to more precisely state the quantum adage: information gain of a system is always accompanied by unavoidable disturbance. Specifically, we investigate three properties of a measurement with L\"uders rule updating: its disturbance, a measure of how the expected post-measurement state deviates from the input; its measurement strength, a measure of the intrinsic information producing capacity of the measurement; and its orthogonality, a measure of the degree to which the measurement operators differ from an…
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