Interpolating between symmetric and asymmetric hypothesis testing
Robert Salzmann, Nilanjana Datta

TL;DR
This paper introduces a one-parameter family of quantum hypothesis testing tasks, called s-hypothesis testing, which smoothly interpolates between symmetric and asymmetric regimes, and characterizes the decay rate of error probabilities using a new quantum divergence.
Contribution
The paper defines s-hypothesis testing, a novel framework that interpolates between symmetric and asymmetric quantum hypothesis testing, and characterizes the error decay rate with a new divergence measure.
Findings
The error probability decays exponentially with the number of copies.
The divergence $\xi_s( ho\|\sigma)$ interpolates between quantum Chernoff and Umegaki relative entropy.
Properties of the divergence include continuity and monotonicity.
Abstract
The task of binary quantum hypothesis testing is to determine the state of a quantum system via measurements on it, given the side information that it is in one of two possible states, say and . This task is generally studied in either the symmetric setting, in which the two possible errors incurred in the task (the so-called type I and type II errors) are treated on an equal footing, or the asymmetric setting in which one minimizes the type II error probability under the constraint that the corresponding type I error probability is below a given threshold. Here we define a one-parameter family of binary quantum hypothesis testing tasks, which we call -hypothesis testing, and in which the relative significance of the two errors are weighted by a parameter . In particular, -hypothesis testing interpolates continuously between the regimes of symmetric and…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Statistical Mechanics and Entropy
