Suppressing the entanglement growth in matrix product state evolution of quantum systems through nonunitary similarity transformations

Suppressing the entanglement growth in matrix product state evolution of quantum systems through nonunitary similarity transformations
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DOI:
10.1103/physrevb.106.104306
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发表时间:
2022-02
期刊:
影响因子:
3.7
通讯作者:
Hanggai Nuomin;Kai T. Liu-;Fengquan Song;D. Beratan;Peng Zhang
Hanggai Nuomin;Kai T. Liu-;Fengquan Song;D. Beratan;Peng Zhang
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Hanggai Nuomin;Kai T. Liu-;Fengquan Song;D. Beratan;Peng Zhang

文献摘要

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探讨了在量子系统的矩阵乘积态模拟中利用相似变换来改变动态纠缠增长的可能性。通过适当选择相似变换,抑制了纠缠增长率,提高了量子系统数值模拟的效率。这种变换可以应用于一般的量子多体系统。
The possibility of using similarity transformations to alter dynamical entanglement growth in matrix-product-state simulations of quantum systems is explored. By appropriately choosing the similarity transformation, the entanglement growth rate is suppressed, improving the efficiency of numerical simulations of quantum systems. The transformation can be applied to general quantum-many-body systems.