Local Unitary Equivalent Classes of Symmetric N-Qubit Mixed States
Sakineh Ashourisheikhi, Swarnamala Sirsi

TL;DR
This paper introduces a new geometric classification method for symmetric N-qubit mixed states using Multiaxial Representation, extending entanglement classification beyond pure states and providing a comprehensive framework applicable to mixed states.
Contribution
The authors develop a novel classification scheme for symmetric N-qubit mixed states based on Multiaxial Representation, incorporating rank as a new parameter and generalizing pure state methods.
Findings
The classification scheme applies to both pure and mixed states.
Detailed analysis of GHZ states highlights differences from pure state classification.
The method effectively classifies symmetric two and three qubit states, including experimentally realizable states.
Abstract
Majorana Representation (MR) of symmetric -qubit pure states has been used successfully in entanglement classification. Generalization of this has been a long standing open problem due to the difficulties faced in the construction of a Majorana like geometric representation for symmetric mixed state. We have overcome this problem by developing a method of classifying local unitary (LU) equivalent classes of symmetric -qubit mixed states based on the geometrical Multiaxial Representation (MAR) of the density matrix. In addition to the two parameters defined for the entanglement classification of the symmetric pure states based on MR, namely, diversity degree and degeneracy configuration, we show that another parameter called rank needs to be introduced for symmetric mixed state classification. Our scheme of classification is more general as it can be applied to both pure and…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
