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Entanglement Theory Quantum Correlations Quantum Simulation Quantum State Preparation Representation

Detection of genuine n-qubit entanglement via the proportionality of two vectors

arXiv
Authors: Dafa Li

Year

2018

Paper ID

24157

Status

Preprint

Abstract Read

~2 min

Abstract Words

247

Citations

N/A

Abstract

In [Science 340, 1205, 7 June (2013)], via polytopes Michael Walter et al. proposed a sufficient condition detecting the genuinely entangled pure states. In this paper, we indicate that generally, the coefficient vector of a pure product state of n qubits cannot be decomposed into a tensor product of two vectors, and show that a pure state of n qubits is a product state if and only if there exists a permutation of qubits such that under the permutation, its coefficient vector arranged in ascending lexicographical order can be decomposed into a tensor product of two vectors. The contrapositive of this result reads that a pure state of n qubits is genuinely entangled if and only if its coefficient vector cannot be decomposed into a tensor product of two vectors under any permutation of qubits. Further, by dividing a coefficient vector into 2i equal-size block vectors, we show that the coefficient vector can be decomposed into a tensor product of two vectors if and only if any two non-zero block vectors of the coefficient vector are proportional. In terms of \textquotedblleft proportionality\textquotedblright , we can rephrase that a pure state of n qubits is genuinely entangled if and only if there are two non-zero block vectors of the coefficient vector which are not proportional under any permutation of qubits. Thus, we avoid decomposing a coefficient vector into a tensor product of two vectors to detect the genuine entanglement. We also present the full decomposition theorem for product states of n qubits.

Why This Paper Matters

  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
  • It adds a 2018 reference point for readers tracking recent quantum research.
  • In [Science 340, 1205, 7 June (2013)], via polytopes Michael Walter et al.

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