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Stochastic evaluation of second-order many-body perturbation energies

机译:二阶多体摄动能量的随机评估

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摘要

With the aid of the Laplace transform, the canonical expression of the second-order many-body perturbation correction to an electronic energy is converted into the sum of two 13-dimensional integrals, the 12-dimensional parts of which are evaluated by Monte Carlo integration. Weight functions are identified that are analytically normalizable, are finite and non-negative everywhere, and share the same singularities as the integrands. They thus generate appropriate distributions of four-electron walkers via the Metropolis algorithm, yielding correlation energies of small molecules within a few mE _h of the correct values after 10~8 Monte Carlo steps. This algorithm does away with the integral transformation as the hotspot of the usual algorithms, has a far superior size dependence of cost, does not suffer from the sign problem of some quantum Monte Carlo methods, and potentially easily parallelizable and extensible to other more complex electron-correlation theories.
机译:借助拉普拉斯变换,将对电子能量的二阶多体摄动校正的规范表达式转换为两个13维积分的总和,其中12维部分通过蒙特卡洛积分进行评估。确定了权重函数,这些函数可以分析归一化,在各处都是有限且非负的,并且与被积数共享相同的奇点。因此,它们通过Metropolis算法生成四电子助步器的适当分布,在10〜8个蒙特卡洛步长之后,在正确值的几个mE _h内产生小分子的相关能。该算法消除了积分变换的麻烦,它具有成本优越的尺寸依赖性,不会受到某些量子蒙特卡洛方法的正负号问题的困扰,并且可能易于并行化和扩展为其他更复杂的电子相关理论。

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