arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1908.06524cond-mat.stat-mechcond-mat.dis-nncond-mat.str-elquant-ph

Time dynamics with matrix product states: Many-body localization transition of large systems revisited

Titas Chanda, Piotr Sierant, Jakub Zakrzewski

英文摘要:

We compare accuracy of two prime time evolution algorithms involving Matrix Product States - tDMRG (time-dependent density matrix renormalization group) and TDVP (time-dependent variational principle). The latter is supposed to be superior within a limited and fixed auxiliary space dimension. Surprisingly, we find that the performance of algorithms depends on the model considered. In particular, many-body localized systems as well as the crossover regions between localized and delocalized phases are better described by tDMRG, contrary to the delocalized regime where TDVP indeed outperforms tDMRG in terms of accuracy and reliability. As an example, we study many-body localization transition in a large size Heisenberg chain. We discuss drawbacks of previous estimates [Phys. Rev. B 98, 174202 (2018)] of the critical disorder strength for large systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑