论文标题
量子淬灭后,离散的Wigner方法在ISING模型中进行动态相变的方法
Discrete truncated Wigner approach to dynamical phase transitions in Ising models after a quantum quench
论文作者
论文摘要
通过离散的截短的Wigner近似,我们研究量子淬灭后横向场模型稳态产生的动力学相变。从完全极化的铁磁初始条件开始,这些跃迁在增加横向场时将沿订购方向进行非变化磁化的相位与对称相。我们考虑两个范式的情况,一个具有幂律相互作用的一维长距离模型$ \ propto 1/r^α$衰减代数作为距离$ r $的函数和一个具有短距离近距离交互的二维系统。在前一种情况下,我们确定了$α\ Lessim 2 $的动力相变,并从稳态磁化的数据崩溃中提取了多达1200个晶格位点的关键指数。我们发现$α\ Lessim 0.5 $的指数相同,这表明该制度的动态过渡与非均值平均场限制相同。二维ISING模型被认为是热量化的,我们还使用小型系统尺寸的精确对角线化确认。因此,预期动态跃迁对应于热相变,这与我们的数据一致,与平衡量子蒙特卡洛模拟相比。我们通过与数值精确的方法(例如精确的对角度,张量网络和人工神经网络状态)进行比较,进一步测试了离散截短的Wigner近似值的准确性,并且我们在可访问的时间尺度上找到了良好的定量一致性。最后,我们的工作为理解范围的理解和定性和定量适用性的局限性提供了额外的贡献。
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 $\propto 1/r^α$ 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 $α\lesssim 2$ 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 $α\lesssim 0.5$, 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. Finally, our work provides an additional contribution to the understanding of the range and the limitations of qualitative and quantitative applicability of the discrete truncated Wigner approximation.