Published October 16, 2009 | Version v1
Journal article

Algebraic characterization of X-states in quantum information

Creators

  • 1. Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA 70803 (United States)

Description

A class of two-qubit states called X-states are increasingly being used to discuss entanglement and other quantum correlations in the field of quantum information. Maximally entangled Bell states and 'Werner' states are subsets of them. Apart from being so named because their density matrix looks like the letter X, there is not as yet any characterization of them. The su(2) x su(2) x u(1) subalgebra of the full su(4) algebra of two qubits is pointed out as the underlying invariance of this class of states. X-states are a seven-parameter family associated with this subalgebra of seven operators. This recognition provides a route to preparing such states and also a convenient algebraic procedure for analytically calculating their properties. At the same time, it points to other groups of seven-parameter states that, while not at first sight appearing similar, are also invariant under the same subalgebra. And it opens the way to analyzing invariant states of other subalgebras in bipartite systems. (fast track communication)

Availability note (English)

Available from http://dx.doi.org/10.1088/1751-8113/42/41/412002

Additional details

Identifiers

DOI
10.1088/1751-8113/42/41/412002;
PII
S1751-8113(09)26062-8;

Publishing Information

Journal Title
Journal of Physics. A, Mathematical and Theoretical (Online)
Journal Volume
42
Journal Issue
41
Journal Page Range
[7 p.]
ISSN
1751-8121

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
41054282
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ALGEBRA; DENSITY MATRIX; INFORMATION THEORY; QUANTUM ENTANGLEMENT; QUANTUM MECHANICS; QUBITS
Descriptors DEC
INFORMATION; MATHEMATICS; MATRICES; MECHANICS; QUANTUM INFORMATION