The density-matrix renormalization group method has become a standard computational approach to the low-energy physics as well as dynamics of low-dimensional quantum systems. In this paper, we present a new set of applications, available as part of the ALPS package, that provide an efficient and flexible implementation of these methods based on a matrix product state (MPS) representation. Our applications implement, within the same framework, algorithms to variationally find the ground state and low-lying excited states as well as simulate the time evolution of arbitrary one-dimensional and two-dimensional models. Implementing the conservation of quantum numbers for generic Abelian symmetries, we achieve performance competitive with the best codes in the community. Example results are provided for (i) a model of itinerant fermions in one dimension and (ii) a model of quantum magnetism.
Matrix product state applications for the ALPS project
Michele Dolfi,B. Bauer,Sebastian Keller,A. Kosenkov,Timothée Ewart,A. Kantian,T. Giamarchi,M. Troyer
Published 2014 in Computer Physics Communications
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- Publication year
2014
- Venue
Computer Physics Communications
- Publication date
2014-07-03
- Fields of study
Physics, Computer Science
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