Computational complexity measures of multipartite quantum entanglement (extented abstract)

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Abstract

We shed new light on entanglement measures in multipartite quantum systems by taking a computational-complexity approach toward quantifying quantum entanglement with two familiar notions - approximability and distinguishability. Built upon the formal treatment of partial separability, we measure the complexity of an entangled quantum state by determining (i) how hard to approximate it from a fixed classical state and (ii) how hard to distinguish it from all partially separable states. We further consider the Kolmogorovian-style descriptive complexity of approximation and distinction of partial entanglement. © Springer-Verlag Berlin Heidelberg 2003.

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Yamakami, T. (2003). Computational complexity measures of multipartite quantum entanglement (extented abstract). Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2906, 117–128. https://doi.org/10.1007/978-3-540-24587-2_14

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