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Symmetry Constraints and Variational Principles in Diffusion Quantum Monte Carlo Calculations of Excited-State Energies

机译:扩散量子中的对称约束和变分原理   蒙特卡罗激发态能量的计算

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摘要

Fixed-node diffusion Monte Carlo (DMC) is a stochastic algorithm for findingthe lowest energy many-fermion wave function with the same nodal surface as achosen trial function. It has proved itself among the most accurate methodsavailable for calculating many-electron ground states, and is one of the fewapproaches that can be applied to systems large enough to act as realisticmodels of solids. In attempts to use fixed-node DMC for excited-statecalculations, it has often been assumed that the DMC energy must be greaterthan or equal to the energy of the lowest exact eigenfunction with the samesymmetry as the trial function. We show that this assumption is not justifiedunless the trial function transforms according to a one-dimensional irreduciblerepresentation of the symmetry group of the Hamiltonian. If the trial functiontransforms according to a multi-dimensional irreducible representation,corresponding to a degenerate energy level, the DMC energy may lie below theenergy of the lowest eigenstate of that symmetry. Weaker variational bounds maythen be obtained by choosing trial functions transforming according toone-dimensional irreducible representations of subgroups of the full symmetrygroup.
机译:固定节点扩散蒙特卡洛(DMC)是一种随机算法,用于找到最低能量的多费米波函数,且其节点面与被试函数相同。它已证明自己是可用于计算多电子基态的最准确方法之一,并且是可应用于足够大以充当实体逼真的模型的系统的少数方法之一。在尝试使用固定节点DMC进行激发态计算时,通常假定DMC能量必须大于或等于具有与试验函数相同的对称性的最低精确本征函数的能量。我们证明,除非根据哈密顿量的对称群的一维不可约表示进行试验函数变换,否则该假设是不成立的。如果试验函数根据多维不可约表示进行变换,对应于简并的能级,则DMC能量可能低于该对称性的最低本征态的能量。然后,通过根据完全对称组的子组的一维不可约表示选择试验函数进行转换,可以获得较弱的变分界。

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