We show that all the N-qubit states can be classified as N entanglement classes each of which has an entanglement index
E=N−p=0,1,...,N−1(E=0 corresponds to a fully separate class) where
p denotes number of groups for a partition of the positive integer N. In other words, for any partition
(n1,n2,...,np) of N with
nj≥1 and
N=∑j=1pnj, the entanglement index for the corresponding state
ρn1⨂ρn2...⨂ρnp with
ρnj denoting a fully entangled state of
nj−qubits is
E(ρn1⨂ρn2...⨂ρnp)=∑j=1p(nj−1)=N−p.
We construct a simplex for multipartite qubit states of even number
n of qubits, which has the same geometry concerning separability, mixedness, kind of entanglement, amount of entanglement, and nonlocality as the bipartite qubit states. We derive the entanglement of the class of states which can be described by only three real parameters with the help of a multipartite measure for all discrete systems. We prove that the bounds on this measure are optimal for the whole class of states and that it reveals that the states possess only
n-partite entanglement and not, e.g., bipartite entanglement. We then show that this
n-partite entanglement can be increased by stochastic local operations and classical communication to the purest maximal entangled states. However, pure
n-partite entanglement cannot be distilled; consequently all entangled states in the simplex are
n-partite bound entangled. We study also Bell inequalities and find the same geometry as for bipartite qubits. Moreover, we show how the (hidden) nonlocality for all
n-partite bound entangled states can be revealed.
We study the classification of entanglement in tripartite systems by using Bell-type inequalities and principal basis. By using Bell unctions and the generalized three dimensional Pauli operators, we present a set of Bell inequalities which classifies the entanglement of triqutrit fully separable and bi-separable mixed states. By using the correlation tensors in the principal basis representation of density matrices, we obtain separability criteria for fully separable and bi-separable 2 ⊗ 2 ⊗ 3 quantum mixed states. Detailed example is given to illustrate our criteria in classifying the tripartite entanglement.
Abstract In quantum information science, a major challenge is to look for an efficient means for classifying quantum states. An attractive proposal is to utilize Bell’s inequality as an entanglement witness, for classifying entangled state. The problem is that entanglement is necessary but not sufficient for violating Bell’s inequalities, making these inequalities unreliable in state classification. Furthermore, in general, classifying the separability of states, even for only few qubits, is resource-consuming. Here we look for alternative solutions with the methods of machine learning, by constructing neural networks that are capable of simultaneously encoding convex sets of multiple entanglement witness inequalities. The simulation results indicated that these transformed Bell-type classifiers can perform significantly better than the original Bell’s inequalities in classifying entangled states. We further extended our analysis to classify quantum states into multiple species through machine learning. These results not only provide an interpretation of neural network as quantum state classifier, but also confirm that neural networks can be a valuable tool for quantum information processing.