Ranks and eigenvalues of states with prescribed reduced states

preprint2014arXivOpen access

Abstract

For a quantum state represented as an n×nn\times n density matrix σ∈Mnσ\in M_n, let S(σ){\cal S}(σ) be the compact convex set of quantum states ρ=(ρij)∈Mm⋅nρ= (ρ_{ij}) \in M_{m\cdot n} with the first partial trace equal to σσ, i.e., tr1(ρ)=ρ11+⋯+ρmm=σ{\rm tr}_1(ρ) = ρ_{11} + \cdots + ρ_{mm} = σ. It is known that if m≥nm \ge n then there is a rank one matrix ρ∈S(σ)ρ\in {\cal S}(σ) satisfying tr1(ρ)=σ{\rm tr}_1(ρ) = σ. If m<nm < n, there may not be rank one matrix in S(σ){\cal S}(σ). In this paper, we determine the ranks of the elements and ranks of the extreme points of the set S{\cal S} We also determine ρ∗∈S(σ)ρ^* \in {\cal S}(σ) with rank bounded by kk such that ∥tr1ρ∗)−σ∥\|{\rm tr}_1ρ^*) - σ\| is minimum for a given unitary similarity invariant norm ∥⋅∥\|\cdot\|. Furthermore, the relation between the eigenvalues of σσ and those of ρ∈S(σ)ρ\in {\cal S}(σ) is analyzed. Extension of our results and open problems will be mentioned.

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