Time dependent variational principle for tree Tensor Networks
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We present a generalization of the Time Dependent Variational Principle (TDVP) to any finite sized loop-free tensor network. The major advantage of TDVP is that it can be employed as long as a representation of the Hamiltonian in the same tensor network structure that encodes the state is available. Often, such a representation can be found also for long-range terms in the Hamiltonian. As an application we use TDVP for the Fork Tensor Product States tensor network for multi-orbital Anderson impurity models. We demonstrate that TDVP allows to account for off-diagonal hybridizations in the bath which are relevant when spin-orbit coupling effects are important, or when distortions of the crystal lattice are present.
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1961 ◽
Vol 261
(1305)
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pp. 207-214
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2008 ◽
Vol 129
(10)
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pp. 104105
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2005 ◽
Vol 123
(15)
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pp. 154102
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2014 ◽
Vol 118
(30)
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pp. 17067-17078
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