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Optimizing momentum space DMRG using quantum information entropy

机译:利用量子信息熵优化动量空间DmRG

摘要

In order to optimize the ordering of the lattice sites in the momentum spaceand quantum chemistry versions of the density matrix renormalization group(DMRG) method we have studied the separability and entanglement of the targetstate for the 1-D Hubbard model and various molecules. By analyzing thebehavior of von Neumann and Neumann-Renyi entropies we have found criteria thathelp to fasten convergence. A new initialization procedure has been developedwhich maximizes the Kullback-Leibler entropy and extends the active space (AS)in a dynamical fashion. The dynamically extended active space (DEAS) procedurereduces significantly the effective system size during the first half sweep andaccelerates the speed of convergence of momentum space DMRG and quantumchemistry DMRG to a great extent. The effect of lattice site ordering on thenumber of block states to be kept during the RG procedure is also investigated.
机译:为了优化动量空间中的晶格位点排序和密度矩阵重整化组(DMRG)方法的量子化学版本,我们研究了一维Hubbard模型和各种分子的目标状态的可分离性和纠缠度。通过分析von Neumann和Neumann-Renyi熵的行为,我们找到了有助于加快收敛的准则。已经开发了一种新的初始化过程,该过程最大化了Kullback-Leibler熵并以动态方式扩展了活动空间(AS)。动态扩展的活动空间(DEAS)过程在前半扫期间显着减小了有效系统的大小,并在很大程度上加快了动量空间DMRG和量子化学DMRG的收敛速度。还研究了晶格位点排序对RG过程中要保留的块态数量的影响。

著录项

  • 作者

    Legeza, Ö.; Sólyom, J.;

  • 作者单位
  • 年度 2003
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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