Publication | Closed Access
Strong NP-hardness of the quantum separability problem
233
Citations
36
References
2010
Year
Quantum ScienceQuantum SecurityEngineeringQuantum ComputingComputational Complexity TheoryBipartite Quantum StateQuantum Optimization AlgorithmQuantum AlgorithmComputational ComplexityQuantum CommunicationDiscrete MathematicsQuantum EntanglementQuantum Separability ProblemInverse Exponential
Given the density matrix $\rho$ of a bipartite quantum state, the quantum separability problem asks whether $\rho$ is entangled or separable. In 2003, Gurvits showed that this problem is NP-hard if $\rho$ is located within an inverse exponential (with respect to dimension) distance from the border of the set of separable quantum states. In this paper, we extend this NP-hardness to an inverse polynomial distance from the separable set. The result follows from a simple combination of works by Gurvits, Ioannou, and Liu. We apply our result to show (1) an immediate lower bound on the maximum distance between a bound entangled state and the separable set (assuming $\rm{P}\neq\rm{ NP}$), and (2) NP-hardness for the problem of determining whether a completely positive trace-preserving linear map is entanglement-breaking.
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