2018
DOI: 10.1063/1.5006890
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Coarse-grained entanglement classification through orthogonal arrays

Abstract: Classification of entanglement in multipartite quantum systems is an open problemsolved so far only for bipartite systems and for systems composed of three and four qubits. We propose here a coarse-grained classification of entanglement in systems consisting of N subsystems with an arbitrary number of internal levels each, based on properties of orthogonal arrays with N columns. In particular, we investigate in detail a subset of highly entangled pure states which contains all states defining maximum distance … Show more

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“…A natural generalization of AME states are the so called k-uniform states, whereby the partial tracing of any subsystems down to k qudits will result in a maximally mixed state [19,20]. Such states can be constructed with help of combinatorial tools like orthogonal arrays [21], which allow for a coarse-grained classification of multipartite entanglement [22]. Another related measure, called the persistence of entanglement [23], is defined by the minimal number of local measurements such that the state becomes completely disentangled for any measurement outcome.…”
Section: Introductionmentioning
confidence: 99%
“…A natural generalization of AME states are the so called k-uniform states, whereby the partial tracing of any subsystems down to k qudits will result in a maximally mixed state [19,20]. Such states can be constructed with help of combinatorial tools like orthogonal arrays [21], which allow for a coarse-grained classification of multipartite entanglement [22]. Another related measure, called the persistence of entanglement [23], is defined by the minimal number of local measurements such that the state becomes completely disentangled for any measurement outcome.…”
Section: Introductionmentioning
confidence: 99%