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arXiv 2006.02445quant-phhep-phhep-thmath-phmath.MP
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具有 Lindblad 方程的 PT 对称非厄米哈密顿量的密度矩阵形式

Density Matrix Formalism for PT-Symmetric Non-Hermitian Hamiltonians with the Lindblad Equation

Tommy Ohlsson, Shun Zhou

AI总结:

本文研究了 Lindblad 退相干下 PT 对称非厄米哈密顿量两能级系统的本征态跃迁概率,发展了相应的密度矩阵形式,证明应使用广义密度矩阵计算跃迁概率,并推导了紧凑解析公式与无退相干结果进行了对比。

摘要:

在存在 Lindblad 退相干(即开放量子系统因与环境相互作用而产生的耗散效应)的情况下,我们研究了由 Lindblad 方程描述的非厄米哈密顿量两能级量子系统中本征态之间的跃迁概率,其中宇称-时间反演(PT)对称性是守恒的。首先,发展了 PT 对称非厄米哈密顿量系统的密度矩阵形式。结果表明,Lindblad 算符 $L^{}_j$ 是伪厄米的,即 $ηL^{}_j η^{-1} = L^\dagger_j$,其中 $η$ 是线性且正定的度规,并且也满足 PT 对称性。我们证明,根据线性要求,应当使用广义密度矩阵 $ρ^{}_{\rm G}(t) \equiv ρ(t) η$ 而非归一化密度矩阵 $ρ^{}_{\rm N}(t) \equiv ρ(t)/{\rm tr}\left[ρ(t)\right]$ 来计算跃迁概率。其次,利用该密度矩阵形式推导了 PT 对称非厄米哈密顿量一般情况下的跃迁概率。在一些具体例子中,我们计算了跃迁概率的紧凑解析公式,并通过数值图示探讨了其主要特征。我们还将当前结果与之前在无 Lindblad 退相干时使用态矢量获得的结果进行了比较。

英文摘要:

In the presence of Lindblad decoherence, i.e. dissipative effects in an open quantum system due to interaction with an environment, we examine the transition probabilities between the eigenstates in the two-level quantum system described by non-Hermitian Hamiltonians with the Lindblad equation, for which the parity-time-reversal (PT) symmetry is conserved. First, the density matrix formalism for PT-symmetric non-Hermitian Hamiltonian systems is developed. It is shown that the Lindblad operators $L^{}_j$ are pseudo-Hermitian, namely, $ηL^{}_j η^{-1} = L^\dagger_j$ with $η$ being a linear and positive-definite metric, and respect the PT symmetry as well. We demonstrate that the generalized density matrix $ρ^{}_{\rm G}(t) \equiv ρ(t) η$, instead of the normalized density matrix $ρ^{}_{\rm N}(t) \equiv ρ(t)/{\rm tr}\left[ρ(t)\right]$, should be implemented for the calculation of the transition probabilities in accordance with the linearity requirement. Second, the density matrix formalism is used to derive the transition probabilities in general cases of PT-symmetric non-Hermitian Hamiltonians. In some concrete examples, we calculate compact analytical formulas for the transition probabilities and explore their main features with numerical illustrations. We also make a comparison between our present results and our previous ones using state vectors in the absence of Lindblad decoherence.

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