论文标题
基于流动的状态密度进行复杂行动
Flow-based density of states for complex actions
论文作者
论文摘要
基于归一化流量的新兴采样算法具有解决晶格计算中的遗传性问题的潜力。此外,已经注意到,可以使用流量来计算传统方法难以访问的热力学数量。这表明它们也适用于解决复杂行动问题的密度。特别是,基于流的采样可用于直接计算密度,这与通过测量和整合其对数的导数重建它的常规策略相反。通过规避此过程,完全避免了数值集成的错误积累,并且可以明确确定总归一化因子。在这项原理研究中,我们在两个组分标量场理论的背景下演示了我们的方法,其中$ o(2)$对称性被假想的外部领域明确打破了。首先,我们专注于可以精确解决的零维情况。我们表明,使用我们的方法,可以成功地找到相关分区函数的Lee-Yang零。随后,我们确认基于流的方法正确地重现了使用常规方法和二维模型中常规方法计算的密度。
Emerging sampling algorithms based on normalizing flows have the potential to solve ergodicity problems in lattice calculations. Furthermore, it has been noted that flows can be used to compute thermodynamic quantities which are difficult to access with traditional methods. This suggests that they are also applicable to the density-of-states approach to complex action problems. In particular, flow-based sampling may be used to compute the density directly, in contradistinction to the conventional strategy of reconstructing it via measuring and integrating the derivative of its logarithm. By circumventing this procedure, the accumulation of errors from the numerical integration is avoided completely and the overall normalization factor can be determined explicitly. In this proof-of-principle study, we demonstrate our method in the context of two-component scalar field theory where the $O(2)$ symmetry is explicitly broken by an imaginary external field. First, we concentrate on the zero-dimensional case which can be solved exactly. We show that with our method, the Lee-Yang zeroes of the associated partition function can be successfully located. Subsequently, we confirm that the flow-based approach correctly reproduces the density computed with conventional methods in one- and two-dimensional models.