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QMC.org
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QMC.org
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* Introduction
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This web site contains the QMC tutorial of the 2021 LTTC winter school
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This website contains the QMC tutorial of the 2021 LTTC winter school
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[[https://www.irsamc.ups-tlse.fr/lttc/Luchon][Tutorials in Theoretical Chemistry]].
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We propose different exercises to understand quantum Monte Carlo (QMC)
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associated with a given wave function, and apply this approach to the
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hydrogen atom.
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Finally, we present the diffusion Monte Carlo (DMC) method which
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we use here to estimate the exact energy of the hydrogen atom and of the H_2 molecule.
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we use here to estimate the exact energy of the hydrogen atom and of the H_2 molecule,
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starting from an approximate wave function.
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Code examples will be given in Python and Fortran. You can use
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whatever language you prefer to write the program.
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* Numerical evaluation of the energy
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In this section we consider the Hydrogen atom with the following
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In this section, we consider the hydrogen atom with the following
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wave function:
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$$
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\Psi(\mathbf{r}) = \exp(-a |\mathbf{r}|)
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$$
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We will first verify that, for a given value of $a$, $\Psi$ is an
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We will first verify that, for a particular value of $a$, $\Psi$ is an
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eigenfunction of the Hamiltonian
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$$
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\hat{H} = \hat{T} + \hat{V} = - \frac{1}{2} \Delta - \frac{1}{|\mathbf{r}|}
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$$
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To do that, we will check if the local energy, defined as
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To do that, we will compute the local energy, defined as
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$$
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E_L(\mathbf{r}) = \frac{\hat{H} \Psi(\mathbf{r})}{\Psi(\mathbf{r})},
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$$
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is constant.
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and check whether it is constant.
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The probabilistic /expected value/ of an arbitrary function $f(x)$
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with respect to a probability density function $p(x)$ is given by
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$$ \langle f \rangle_p = \int_{-\infty}^\infty p(x)\, f(x)\,dx. $$
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Recall that a probability density function $p(x)$ is non-negative
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and integrates to one:
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$$ \int_{-\infty}^\infty p(x)\,dx = 1. $$
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The electronic energy of a system is the expectation value of the
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In general, the electronic energy of a system, $E$, can be rewritten as the expectation value of the
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local energy $E(\mathbf{r})$ with respect to the 3N-dimensional
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electron density given by the square of the wave function:
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= \frac{\int \Psi(\mathbf{r})\, \hat{H} \Psi(\mathbf{r})\, d\mathbf{r}}{\int \left[\Psi(\mathbf{r}) \right]^2 d\mathbf{r}} \\
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& = & \frac{\int \left[\Psi(\mathbf{r})\right]^2\, \frac{\hat{H} \Psi(\mathbf{r})}{\Psi(\mathbf{r})}\,d\mathbf{r}}{\int \left[\Psi(\mathbf{r}) \right]^2 d\mathbf{r}}
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= \frac{\int \left[\Psi(\mathbf{r})\right]^2\, E_L(\mathbf{r})\,d\mathbf{r}}{\int \left[\Psi(\mathbf{r}) \right]^2 d\mathbf{r}}
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= \langle E_L \rangle_{\Psi^2}
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= \langle E_L \rangle_{\Psi^2}\,,
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\end{eqnarray*}
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where $\mathbf{r}$ is the vector of the 3N-dimensional electronic coordinates ($N=1$ for the hydrogen atom).
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For a small number of dimensions, one can compute $E$ by evaluating the integrals on a grid. However,
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The probabilistic /expected value/ of an arbitrary function $f(x)$
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with respect to a probability density function $p(x)$ is given by
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$$ \langle f \rangle_p = \int_{-\infty}^\infty p(x)\, f(x)\,dx, $$
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where probability density function $p(x)$ is non-negative
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and integrates to one:
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$$ \int_{-\infty}^\infty p(x)\,dx = 1. $$
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** Local energy
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:PROPERTIES:
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