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首页> 外文期刊>Physical review >Self-healing diffusion quantum Monte Carlo algorithms: Direct reduction of the fermion sign error in electronic structure calculations
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Self-healing diffusion quantum Monte Carlo algorithms: Direct reduction of the fermion sign error in electronic structure calculations

机译:自愈扩散量子蒙特卡洛算法:电子结构计算中费米子符号误差的直接减少

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We develop a formalism and present an algorithm for optimization of the trial wave function used in fixed-node diffusion quantum Monte Carlo (DMC) methods. The formalism is based on the DMC mixed estimator of the ground-state probability density. We take advantage of a basic property of the walker configuration distribution generated in a DMC calculation, to (ⅰ) project out a multideterminant expansion of the fixed-node ground-state wave function and (ⅱ) to define a cost function that relates the fixed-node ground-state and the noninteracting trial wave functions. We show that (a) locally smoothing out the kink of the fixed-node ground-state wave function at the node generates a new trial wave function with better nodal structure and (b) we argue that the noise in the fixed-node wave function resulting from finite sampling plays a beneficial role, allowing the nodes to adjust toward the ones of the exact many-body ground state in a simulated annealing-like process. Based on these principles, we propose a method to improve both single determinant and multideterminant expansions of the trial wave function. The method can be generalized to other wave-function forms such as pfaffians. We test the method in a model system where benchmark configuration-interaction calculations can be performed and most components of the Hamiltonian are evaluated analytically. Comparing the DMC calculations with the exact solutions, we find that the trial wave function is systematically improved. The overlap of the optimized trial wave function and the exact ground state converges to 100% even starting from wave functions orthogonal to the exact ground state. Similarly, the DMC total energy and density converges to the exact solutions for the model. In the optimization process we find an optimal noninteracting nodal potential of density-functional-like form whose existence was predicted in a previous publication [Phys. Rev. B 77, 245110 (2008)]. Tests of the method are extended to a model system with a conventional Coulomb interaction where we show we can obtain the exact Kohn-Sham effective potential from the DMC data.
机译:我们开发了形式主义,并提出了用于固定节点扩散量子蒙特卡罗(DMC)方法中的试验波函数优化的算法。形式主义基于基态概率密度的DMC混合估计量。我们利用DMC计算中生成的助行器配置分布的基本属性,来(ⅰ)投影固定节点基态波函数的多行列式展开式,以及(ⅱ)定义与固定点相关的成本函数节点基态和非相互作用的试验波函数。我们证明(a)局部平滑节点上的固定节点基态波函数的扭结会生成具有更好节点结构的新试验波函数,并且(b)我们认为固定节点波函数中的噪声有限采样所产生的结果起着有益的作用,允许节点在类似模拟退火的过程中朝着准确的多体基态进行调整。基于这些原理,我们提出了一种同时改善试波函数的单行列式和多行列式扩展的方法。该方法可以推广到其他波函数形式,例如pfaffians。我们在模型系统中测试该方法,在该模型系统中可以执行基准配置-交互计算,并且可以对汉密尔顿模型的大多数组件进行分析评估。将DMC计算与精确解进行比较,我们发现试波函数得到了系统的改进。即使从正交于精确基态的波函数开始,优化试验波函数和精确基态的重叠也收敛到100%。同样,DMC的总能量和密度收敛到该模型的精确解。在优化过程中,我们发现了密度功能类似形式的最佳非相互作用节点势,该势在先前的出版物中有所预测。修订版B 77,245110(2008)。该方法的测试被扩展到具有常规库仑相互作用的模型系统,在该系统中,我们表明可以从DMC数据中获得确切的Kohn-Sham有效电势。

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