Classification of the Entangled states L\times N\times N
Jun-Li Li, Shi-Yuan Li, and Cong-Feng Qiao

TL;DR
This paper introduces a comprehensive classification scheme for tripartite entangled states in systems of dimensions L×N×N, combining matrix canonical forms and symmetry analysis, with a specific example for 3×N×N systems.
Contribution
It provides a novel, systematic method for classifying tripartite entangled states under stochastic local operations and classical communication.
Findings
Developed a classification scheme based on matrix similarity transformations.
Applied the scheme to classify entanglement in 3×N×N systems.
Demonstrated the method with a concrete example.
Abstract
We presented a general classification scheme for the tripartite entangled system under stochastic local operation and classical communication. The whole classification procedure consists of two correlated parts: the simultaneous similarity transformation of a commuting matrix pair into a canonical form and the study of internal symmetry of parameters in the canonical form. Based on this scheme, a concrete example of entanglement classification for a system is given.
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