corner
corner

Phys. Rev. A 73, 062334 (2006) [17 pages]

Programmable quantum-state discriminators with simple programs

Download: PDF (336 kB) Buy this article Export: BibTeX or EndNote (RIS)

János A. Bergou1, Vladimír Bužek2, Edgar Feldman3, Ulrike Herzog4, and Mark Hillery1
1Department of Physics and Astronomy, Hunter College of the City University of New York, 695 Park Avenue, New York, New York 10021, USA
2Research Center for Quantum Information, Slovak Academy of Sciences, 845 11 Bratislava, Slovakia
3Department of Mathematics, Graduate Center of the City University of New York, 365 Fifth Avenue, New York, New York 10016, USA
4Institut für Physik, Humboldt-Universität zu Berlin, Newtonstrasse 15, D-12489 Berlin, Germany

Received 20 February 2006; published 28 June 2006

We describe a class of programmable devices that can discriminate between two quantum states. We consider two cases. In the first, both states are unknown. One copy of each of the unknown states is provided as an input, or program, for the two program registers, and the data state, which is guaranteed to be prepared in one of the program states, is fed into the data register of the device. This device will then tell us, in an optimal way, which of the templates stored in the program registers the data state matches. In the second case, we know one of the states while the other is unknown. One copy of the unknown state is fed into the single program register, and the data state which is guaranteed to be prepared in either the program state or the known state, is fed into the data register. The device will then tell us, again optimally, whether the data state matches the template or is the known state. We determine two types of optimal devices. The first performs discrimination with minimum error, and the second performs optimum unambiguous discrimination. In all cases we first treat the simpler problem of only one copy of the data state and then generalize the treatment to n copies. In comparison to other works we find that providing n>1 copies of the data state yields higher success probabilities than providing n>1 copies of the program states.

© 2006 The American Physical Society

URL:
http://link.aps.org/doi/10.1103/PhysRevA.73.062334
DOI:
10.1103/PhysRevA.73.062334
PACS:
03.67.Lx, 03.65.Ta, 42.50.−p