The minimum-error discrimination via Helstrom family of ensembles and convex optimization

The minimum-error discrimination via Helstrom family of ensembles and convex optimization Using the convex optimization method and Helstrom family of ensembles introduced in Ref. Kimura et al. in Phys Rev A, 79:062306 (2009), we discuss optimal ambiguous discrimination in qubit systems for N known quantum states. We obtain optimal success probability (OSP) and optimal measurement (OM) for N(≥ 4) known equiprobable quantum states where all these states are distributed at the same distance from the center of Bloch ball which all the states do not lie on the same plane. After reproducing known results for distinguishing between two quantum states, we also exactly discuss discrimination of three quantum state where OSP and OM are calculated explicitly. In particular examples of three states, for a numerical case, mirror symmetric states, and particularly chosen coplanar pure states, previously obtained results are reproduced. We also obtain OSP and OM for a particular case of states considered on the line, circumference of a circle, and states that is defined by vertices of a Platonic solid. In addition, OSP is presented for a special case of four states. Quantum Information Processing Springer Journals

The minimum-error discrimination via Helstrom family of ensembles and convex optimization

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Springer US
Copyright © 2010 by Springer Science+Business Media, LLC
Physics; Quantum Information Technology, Spintronics; Quantum Computing; Data Structures, Cryptology and Information Theory; Quantum Physics; Mathematical Physics
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  • Optimal state discrimination in general probabilistic theories
    Kimura, G.; Miyadera, T.; Imai, H.

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