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Title: Gradient-based stochastic estimation of the density matrix

Authors:
ORCiD logo [1];  [2];  [3]; ORCiD logo [4]
  1. Department of Physics and Astronomy, The University of Tennessee, Knoxville, Tennessee 37996, USA
  2. Department of Physics, University of Virginia, Charlottesville, Virginia 22904, USA
  3. Department of Physics and Astronomy, The University of Tennessee, Knoxville, Tennessee 37996, USA, Quantum Condensed Matter Division and Shull-Wollan Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
  4. Theoretical Division and CNLS, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1423724
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Journal of Chemical Physics
Additional Journal Information:
Journal Volume: 148; Journal Issue: 9; Related Information: CHORUS Timestamp: 2018-03-05 13:47:09; Journal ID: ISSN 0021-9606
Publisher:
American Institute of Physics
Country of Publication:
United States
Language:
English

Citation Formats

Wang, Zhentao, Chern, Gia-Wei, Batista, Cristian D., and Barros, Kipton. Gradient-based stochastic estimation of the density matrix. United States: N. p., 2018. Web. doi:10.1063/1.5017741.
Wang, Zhentao, Chern, Gia-Wei, Batista, Cristian D., & Barros, Kipton. Gradient-based stochastic estimation of the density matrix. United States. doi:10.1063/1.5017741.
Wang, Zhentao, Chern, Gia-Wei, Batista, Cristian D., and Barros, Kipton. Wed . "Gradient-based stochastic estimation of the density matrix". United States. doi:10.1063/1.5017741.
@article{osti_1423724,
title = {Gradient-based stochastic estimation of the density matrix},
author = {Wang, Zhentao and Chern, Gia-Wei and Batista, Cristian D. and Barros, Kipton},
abstractNote = {},
doi = {10.1063/1.5017741},
journal = {Journal of Chemical Physics},
number = 9,
volume = 148,
place = {United States},
year = {Wed Mar 07 00:00:00 EST 2018},
month = {Wed Mar 07 00:00:00 EST 2018}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on March 5, 2019
Publisher's Accepted Manuscript

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