论文标题
临时性的晶格schwinger模型中的基于流动的采样
Flow-based sampling in the lattice Schwinger model at criticality
论文作者
论文摘要
最近的结果表明，基于流动的算法可以为晶格场理论应用提供有效的现场分布采样，例如量子染色体动力学和Schwinger模型的研究。在这项工作中，我们在费米昂质量的临界值下提供了舒温格模型中稳健基于流动的采样的数值证明。相反，在相同的参数下，常规方法无法采样配置空间的所有部分，从而导致严重低估的不确定性。
Recent results suggest that flow-based algorithms may provide efficient sampling of field distributions for lattice field theory applications, such as studies of quantum chromodynamics and the Schwinger model. In this work, we provide a numerical demonstration of robust flow-based sampling in the Schwinger model at the critical value of the fermion mass. In contrast, at the same parameters, conventional methods fail to sample all parts of configuration space, leading to severely underestimated uncertainties.
