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Q: Fachverband Quantenoptik und Photonik

Q 18: Quantum Information: Concepts and Methods III

Q 18.4: Vortrag

Dienstag, 24. März 2015, 11:45–12:00, K/HS1

Matrix product operators and states: NP-hardness and undecidability — •Martin Kliesch¹, David Gross², and Jens Eisert¹ — ¹Freie Universität Berlin, 14195 Berlin, Germany — ²Universität Freiburg, 79104 Freiburg, Germany

Tensor network states constitute an important variational set of quantum states for numerical studies of strongly correlated systems in condensed-matter physics, as well as in mathematical physics. This is specifically true for finitely correlated states or matrix-product operators, designed to capture mixed states of one-dimensional quantum systems. It is a well-known open problem to find an efficient algorithm that decides whether a given matrix-product operator actually represents a physical state that in particular has no negative eigenvalues. We address and answer this question by showing that the problem is provably undecidable in the thermodynamic limit and that the bounded version of the problem is NP-hard in the system size. Furthermore, we discuss numerous connections between tensor network methods and (seemingly) different concepts treated before in the literature, such as hidden Markov models and tensor trains.