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Title: Symmetry-conserving purification of quantum states within the density matrix renormalization group

Journal Article · · Physical Review, B: Condensed Matter
 [1];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

The density matrix renormalization group (DMRG) algorithm was originally designed to efficiently compute the zero-temperature or ground-state properties of one-dimensional strongly correlated quantum systems. The development of the algorithm at finite temperature has been a topic of much interest, because of the usefulness of thermodynamics quantities in understanding the physics of condensed matter systems, and because of the increased complexity associated with efficiently computing temperature-dependent properties. The ancilla method is a DMRG technique that enables the computation of these thermodynamic quantities. In this paper, we review the ancilla method, and improve its performance by working on reduced Hilbert spaces and using canonical approaches. Furthermore we explore its applicability beyond spins systems to t-J and Hubbard models.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1236593
Alternate ID(s):
OSTI ID: 1236403
Journal Information:
Physical Review, B: Condensed Matter, Vol. 93, Issue 4; ISSN 0163-1829
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 18 works
Citation information provided by
Web of Science

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Cited By (4)

Spinon confinement and a sharp longitudinal mode in Yb2Pt2Pb in magnetic fields journal March 2019
Thermofield theory for finite-temperature quantum chemistry journal April 2019
Finite temperature dynamics of the Mott insulating Hubbard chain text January 2017
Spinon Confinement and a Sharp Longitudinal Mode in Yb$_2$Pt$_2$Pb in Magnetic Fields text January 2019

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