论文标题

基于密度运算符的对称系统的任意时间相关$ \ Mathcal {pt} $的动力学仿真和数值分析

Dynamics simulation and numerical analysis of arbitrary time-dependent $\mathcal{PT}$-symmetric system based on density operators

论文作者

Li, Xiaogang, Zheng, Chao, Gao, Jiancun, Long, Guilu

论文摘要

$ \ Mathcal {pt} $ - 对称系统由于其独特的属性和应用而引起了广泛的关注。如何模拟传统量子机械系统中的$ \ Mathcal {pt} $ - 对称系统不仅具有基本的理论意义,而且具有实用价值。我们提出了一个基于密度运算符的任意时间依赖性$ \ Mathcal {pt} $对称系统的动力学仿真方案,结果与基于纯态向量的先前方法兼容。基于上述内容,我们能够通过密度运算符的矢量化技术和超级操作器(VDMS)的矢量化技术研究量子噪声对仿真结果的影响,并且我们表明了去极化(DEP)噪声是最致命的,应尽可能地避免使用。同时,我们还提供了数值分析。我们发现,年代产品的问题通常不仅必须在数值计算中解决,而且还必须在实验中解决,因为扩张的较高维度的哈密顿量通常是时间依赖性的。通过理论分析和数值计算,我们发现,在满足计算准确性和节省计算资源的目标的前提下,必须仔细平衡计算的时间步骤和Magnus系列的截止项。

$\mathcal{PT}$-symmetric system has attracted extensive attention in recent years because of its unique properties and applications. How to simulate $\mathcal{PT}$-symmetric system in traditional quantum mechanical system has not only fundamental theoretical significance but also practical value. We propose a dynamics simulation scheme of arbitrary time-dependent $\mathcal{PT}$-symmetric system based on density operators, and the results are compatible with previous methods based on pure-state vectors. Based on the above, we are able to study the influence of quantum noises on the simulation results with the technique of vectorization of density operators and matrixization of superoperators (VDMS), and we show the depolarizing (Dep) noise is the most fatal and should be avoided as much as possible. Meanwhile, we also give a numerical analysis. We find that the problem of chronological product usually has to be solved not only in the numerical calculation, but also even in the experiment, because the dilated higher-dimensional Hamiltonian is usually time-dependent. Through theoretical analysis and numerical calculation, we find that on the premise of meeting the goal of calculation accuracy and saving computing resources, the time step of calculation and the cut-off term of Magnus series have to be carefully balanced.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源