2019
DOI: 10.1103/physrevlett.123.170504
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Matrix Product States: Entanglement, Symmetries, and State Transformations

Abstract: We analyze entanglement in the family of translationally-invariant matrix product states (MPS). We give a criterion to determine when two states can be transformed into each other by SLOCC transformations, a central question in entanglement theory. We use that criterion to determine SLOCC classes, and explicitly carry out this classification for the simplest, non-trivial MPS. We also characterize all symmetries of MPS, both global and local (inhomogeneous). We illustrate our results with examples of states tha… Show more

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Cited by 17 publications
(55 citation statements)
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References 43 publications
(48 reference statements)
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“…It is the symmetries of the state which allow the transformation to be deterministic. In [36] the symmetries and SLOCC transformations of translationally invariant matrix product states (which include certain network structures) have been characterized. In the following, we characterize the symmetries of arbitrary networks of bipartite sources which distribute maximally entangled two-qubit states.…”
Section: Arxiv:210501090v1 [Quant-ph] 3 May 2021mentioning
confidence: 99%
“…It is the symmetries of the state which allow the transformation to be deterministic. In [36] the symmetries and SLOCC transformations of translationally invariant matrix product states (which include certain network structures) have been characterized. In the following, we characterize the symmetries of arbitrary networks of bipartite sources which distribute maximally entangled two-qubit states.…”
Section: Arxiv:210501090v1 [Quant-ph] 3 May 2021mentioning
confidence: 99%
“…Finally, let us remark that 2 × m × n-states find application as fiducial states in the context of matrix product states [59]. In particular, properties of 2 × m × n-states can be used to characterize properties of the matrix product state they give rise to, such as local symmetries, or SLOCC classes.…”
Section: Resultsmentioning
confidence: 99%
“…This lattice is also complete, that is, the supremum and infimum exist for arbitrary subsets of probability vectors [20][21][22]. We remark that the lattice structure of majorization, beyond its partial order, has recently been found useful for different quantum information problems, namely the study of majorization uncertainty relations [23][24][25][26], entanglement transformations [27][28][29][30], and optimal common resource in majorization-based quantum resources theories [22], among others [31][32][33][34][35][36].…”
Section: Introductionmentioning
confidence: 99%