Lombardini Richard, Poirier Bill
Department of Chemistry and Biochemistry, and Department of Physics, Texas Tech University, P.O. Box 41061, Lubbock, Texas 79409-1061, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Sep;74(3 Pt 2):036705. doi: 10.1103/PhysRevE.74.036705. Epub 2006 Sep 26.
A particular basis set method developed by one of the authors, involving maximally localized orthogonal Weyl-Heisenberg wavelets (or "weylets") and a phase space truncation scheme, has been successfully applied to exact quantum calculations for many degrees of freedom (DOF's) [B. Poirier and A. Salam, J. Chem. Phys. 121, 1740 (2004)]. However, limitations in accuracy arise in the many-DOF case, owing to memory limits on conventional computers. This paper addresses this accuracy limitation by introducing phase space region operators (PSRO's) that customize individual weylet basis functions for the problem of interest. The construction of the PSRO's is straightforward, and does not require a priori knowledge of the desired eigenstates. The PSRO, when applied to weylets, as well as to simple phase space Gaussian basis functions, exhibits remarkable improvements in accuracy, reducing computed eigenvalue errors by orders of magnitude. The method is applied to various model systems at varying DOF's.
其中一位作者开发的一种特定基组方法,涉及最大局域正交魏尔 - 海森堡小波(或“weylets”)和相空间截断方案,已成功应用于多自由度(DOF)的精确量子计算[B. 波里尔和A. 萨拉姆,《化学物理杂志》121, 1740 (2004)]。然而,在多自由度情况下,由于传统计算机的内存限制,会出现精度限制。本文通过引入相空间区域算子(PSRO)来解决这一精度限制问题,该算子针对感兴趣的问题定制各个weylet基函数。PSRO的构建很直接,并且不需要事先了解所需的本征态。当PSRO应用于weylets以及简单的相空间高斯基函数时,在精度上有显著提高,将计算出的特征值误差降低了几个数量级。该方法应用于不同自由度的各种模型系统。