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# Diffusion Monte Carlo | ||
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[DMC_propagator](DMC_propagator.ipynb) - Drift, diffusion, and scaled drift terms |
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# Estimators | ||
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* [Force](Force.ipynb) - Estimators for forces. The bare estimator has a variance problem. The Chiesa estimator is one approach to dealing with this problem. |
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# Lattice sums over long-ranged potentials | ||
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Sums over infinite lattices have difficult convergence properties. | ||
This is usually handled by breaking the sum into a short-ranged and long-ranged part and transforming them differently into | ||
rapidly converging sums. | ||
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* [ewald_sum.py](ewald_sum.py) - a simple implementation of Ewald sums | ||
* [PolynomialFit](PolynomialFit.ipynb) - Fitting to a polynomial, as part of the optimized long-ranged breakup. | ||
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# Stochastic Reconfiguration | ||
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[Reproduce_Hetherington_PRA1984](Reproduce_Hetherington_PRA1984.ipynb) - Reproduce and demonstrate stochastic iteration for determining eigenvalues. |
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# Variational Monte Carlo | ||
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* [Parameter_Optimization.ipynb](Parameter_Optimization.ipynb) - Derivatives of the VMC energy with respect to varational parameters | ||
* [Variational_Hydrogen.ipynb](Variational_Hydrogen.ipynb) - Hydrogen is a 3-D integral. An artificially de-optimized wavefunction is used to demonstrate the variational principle. | ||
* [Variational_Helium.ipynb](Variational_Helium.ipynb) - Compute energy of Helium using grid-based quadrature. |
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