FEAST nonlinear eigenvalue algorithm for $GW$ quasiparticle equations

Dongming Li, Eric Polizzi
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Abstract

The use of Green's function in quantum many-body theory often leads to nonlinear eigenvalue problems, as Green's function needs to be defined in energy domain. The $GW$ approximation method is one of the typical examples. In this article, we introduce a method based on the FEAST eigenvalue algorithm for accurately solving the nonlinear eigenvalue $G_0W_0$ quasiparticle equation, eliminating the need for the Kohn-Sham wavefunction approximation. Based on the contour integral method for nonlinear eigenvalue problem, the energy (eigenvalue) domain is extended to complex plane. Hypercomplex number is introduced to the contour deformation calculation of $GW$ self-energy to carry imaginary parts of both Green's functions and FEAST quadrature nodes. Calculation results for various molecules are presented and compared with a more conventional graphical solution approximation method. It is confirmed that the Highest Occupied Molecular Orbital (HOMO) from the Kohn-Sham equation is very close to that of $GW$, while the Least Unoccupied Molecular Orbital (LUMO) shows noticeable differences.
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针对 $GW$ 准粒子方程的 FEAST 非线性特征值算法
在量子多体理论中使用格林函数常常会导致非线性特征值问题,因为格林函数需要在能域中定义。$GW$ 近似方法就是典型的例子之一。本文介绍了一种基于 FEAST 特征值算法的方法,用于精确求解非线性特征值 $G_0W_0$ 准粒子方程,省去了 Kohn-Sham 波函数近似。基于非线性特征值问题的轮廓积分法,能量(特征值)域被扩展到复平面。在计算 $GW$ 自能的轮廓变形时引入了超复数,以携带格林函数和 FEAST 正交节点的虚部。结果表明,Kohn-Sham 方程得出的最高占位分子轨道(HOMO)与 $GW$ 非常接近,而最低未占位分子轨道(LUMO)则存在明显差异。
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