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Mixed states in one spatial dimension: decompositions and correspondence with nonnegative matrices

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arxiv 1907.03664 v2 pith:LN5XHMTF submitted 2019-07-08 quant-ph

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keywords decompositionsfactorisationstatesmixednonnegativepositivecompletelycorrespond
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We study six natural decompositions of mixed states in one spatial dimension: the Matrix Product Density Operator (MPDO) form, the local purification form, the separable decomposition (for separable states), and their three translational invariant (t.i.) analogues. For bipartite states diagonal in the computational basis, we show that these decompositions correspond to well-studied factorisations of an associated nonnegative matrix. Specifically, the first three decompositions correspond to the minimal factorisation, the nonnegative factorisation, and the positive semidefinite factorisation. We also show that a symmetric version of these decompositions corresponds to the symmetric factorisation, the completely positive factorisation, and the completely positive semidefinite transposed factorisation, respectively. We leverage this correspondence to characterise the six decompositions of mixed states.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Generalised ansatz for continuous Matrix Product States

    quant-ph 2019-08 conditional novelty 7.0 of 10

    A finite sum of continuous matrix product states with different boundary operators, labeled by an ancilla, can express the continuum limit of every matrix product state, which standard continuous matrix product states cannot.

  2. Tensor decompositions on simplicial complexes with invariance

    math.CO 2019-09 accept novelty 6.0 of 10

    Every group-invariant tensor admits an invariant decomposition on a suitably enriched weighted simplicial complex, unifying translationally invariant, symmetric, and nonnegative tensor decompositions.

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