量子猝灭后Ising模型中动态相变的离散截断Wigner方法

Reyhaneh Khasseh, A. Russomanno, M. Schmitt, M. Heyl, R. Fazio
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引用次数: 11

摘要

利用离散截断维格纳近似研究了量子猝灭后横场Ising模型稳态中产生的动态相变。从一个完全极化的铁磁初始条件开始,随着横向场的增加,这些转变沿着有序方向分离出具有不消失磁化的相和对称相。我们考虑了两种典型的情况,一个具有幂律相互作用$\propto 1/r^{\alpha}$作为距离函数的代数衰减的一维远程模型$r$和一个具有短距离近邻相互作用的二维系统。在前一种情况下,我们确定了$\alpha \lesssim 2$的动态相变,并从多达1200个晶格点的稳态磁化的数据崩溃中提取了临界指数。我们发现$\alpha \lesssim 1$的相同指数,表明该区域的动力跃迁与非遍历平均场极限属于相同的普适性类。二维伊辛模型被认为是热化的,我们也使用精确对角化来确认小系统尺寸。因此,动态转变预计对应于热相变,这与我们的数据一致,比较平衡量子蒙特卡罗模拟。通过与精确对角化、张量网络和人工神经网络状态等数值精确方法的比较,我们进一步测试了离散截断Wigner近似的准确性,并在可访问的时间尺度上找到了很好的定量一致性。
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Discrete truncated Wigner approach to dynamical phase transitions in Ising models after a quantum quench
By means of the discrete truncated Wigner approximation we study dynamical phase transitions arising in the steady state of transverse-field Ising models after a quantum quench. Starting from a fully polarized ferromagnetic initial condition these transitions separate a phase with nonvanishing magnetization along the ordering direction from a symmetric phase upon increasing the transverse field. We consider two paradigmatic cases, a one-dimensional long-range model with power-law interactions $\propto 1/r^{\alpha}$ decaying algebraically as a function of distance $r$ and a two-dimensional system with short-range nearest-neighbour interactions. In the former case we identify dynamical phase transitions for $\alpha \lesssim 2$ and we extract the critical exponents from a data collapse of the steady state magnetization for up to 1200 lattice sites. We find identical exponents for $\alpha \lesssim 1$, suggesting that the dynamical transitions in this regime fall into the same universality class as the nonergodic mean-field limit. The two-dimensional Ising model is believed to be thermalizing, which we also confirm using exact diagonalization for small system sizes. Thus, the dynamical transition is expected to correspond to the thermal phase transition, which is consistent with our data upon comparing to equilibrium quantum Monte-Carlo simulations. We further test the accuracy of the discrete truncated Wigner approximation by comparing against numerically exact methods such as exact diagonalization, tensor network as well as artificial neural network states and we find good quantitative agreement on the accessible time scales.
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