Time evolution of Matrix Product States
classification
❄️ cond-mat.str-el
quant-ph
keywords
arnoldievolutionmatrixproductaccuracyalgorithmalgorithmsansatz
read the original abstract
In this work we develop several new simulation algorithms for 1D many-body quantum mechanical systems combining the Matrix Product State variational ansatz with Taylor, Pade and Arnoldi approximations to the evolution operator. By comparing all methods with previous techniques based on Trotter decompositions we demonstrate that the Arnoldi method is the best one, reaching extremely good accuracy with moderate resources. Finally we apply this algorithm to studying the formation of molecules in an optical lattices when crossing a Feschbach resonance with a cloud of two-species hard-core bosons.
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