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Matrix product purifications for canonical ensembles and quantum number distributions

Publication ,  Journal Article
Barthel, T
Published in: Physical Review B
September 26, 2016

Matrix product purifications (MPPs) are a very efficient tool for the simulation of strongly correlated quantum many-body systems at finite temperatures. When a system features symmetries, these can be used to reduce computation costs substantially. It is straightforward to compute an MPP of a grand-canonical ensemble, also when symmetries are exploited. This paper provides and demonstrates methods for the efficient computation of MPPs of canonical ensembles under utilization of symmetries. Furthermore, we present a scheme for the evaluation of global quantum number distributions using matrix product density operators (MPDOs). We provide exact matrix product representations for canonical infinite-temperature states, and discuss how they can be constructed alternatively by applying matrix product operators to vacuum-type states or by using entangler Hamiltonians. A demonstration of the techniques for Heisenberg spin-1/2 chains explains why the difference in the energy densities of canonical and grand-canonical ensembles decays as 1/L.

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Published In

Physical Review B

DOI

EISSN

2469-9969

ISSN

2469-9950

Publication Date

September 26, 2016

Volume

94

Issue

11

Related Subject Headings

  • 51 Physical sciences
  • 40 Engineering
  • 34 Chemical sciences
 

Citation

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Barthel, T. (2016). Matrix product purifications for canonical ensembles and quantum number distributions. Physical Review B, 94(11). https://doi.org/10.1103/PhysRevB.94.115157
Barthel, T. “Matrix product purifications for canonical ensembles and quantum number distributions.” Physical Review B 94, no. 11 (September 26, 2016). https://doi.org/10.1103/PhysRevB.94.115157.
Barthel, T. “Matrix product purifications for canonical ensembles and quantum number distributions.” Physical Review B, vol. 94, no. 11, Sept. 2016. Scopus, doi:10.1103/PhysRevB.94.115157.

Published In

Physical Review B

DOI

EISSN

2469-9969

ISSN

2469-9950

Publication Date

September 26, 2016

Volume

94

Issue

11

Related Subject Headings

  • 51 Physical sciences
  • 40 Engineering
  • 34 Chemical sciences