Structural physical approximation of partial transposition makes possible to distinguish SLOCC inequivalent classes of three-qubit system

TL;DR

This paper introduces a method using the structural physical approximation of partial transposition (SPA-PT) to distinguish SLOCC inequivalent classes of three-qubit entangled states, enabling experimental classification.

Contribution

It proposes a novel criterion based on SPA-PT for classifying three-qubit entanglement, including explicit matrix elements and practical examples.

Findings

SPA-PT can effectively distinguish SLOCC classes

The criterion is experimentally realizable

Explicit matrix elements for SPA-PT of three-qubit states

Abstract

Detection and classification of entanglement properties of a multi-qubit system is a topic of great interest. This topic has been studied extensively and thus we found different approaches for the detection and classification of multi-qubit entangled states. We have applied partial transposition operation on one of the qubit of the three-qubit system and then studied the entanglement properties of the three-qubit system, which is under investigation. Since the partial transposition operation is not a quantum operation so we have approximated partial transposition operation in such a way so that it represent a completely positive map. The approximated partial transposition operation is also known as structural physical approximation of partial transposition (SPA-PT). We have studied in detail the application of SPA-PT on a three qubit system and provided explicitly the matrix elements of the density matrix describing SPA-PT of a three qubit system. Moreover, we propose criterion to classify all possible stochastic local operations and classical communication(SLOCC) inequivalent classes of a pure as well as mixed three qubit state through SPA-PT map, which makes our criterion experimentally realizable. We have illustrated our criterion for detection and classification of three-qubit entangled states by considering few examples.