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@ -1397,8 +1397,8 @@ gfortran hydrogen.f90 qmc_stats.f90 qmc_uniform.f90 -o qmc_uniform
step such that the acceptance rate is close to 0.5 is a good
compromise for the current problem.
NOTE: below, we use the symbol dt for dL for reasons which will
become clear later.
NOTE: below, we use the symbol dt to denote dL since we will use
the same variable later on to store a time step.
*** Exercise
@ -2168,10 +2168,19 @@ gfortran hydrogen.f90 qmc_stats.f90 vmc_metropolis.f90 -o vmc_metropolis
system by simulating the Schrödinger equation in imaginary time, by
the combination of a diffusion process and a branching process.
We note here that the ground-state wave function of a Fermionic system is
antisymmetric and changes sign.
We note that the ground-state wave function of a Fermionic system is
antisymmetric and changes sign. Therefore, it is interpretation as a probability
distribution is somewhat problematic. In fact, mathematically, since
the Bosonic ground state is lower in energy than the Fermionic one, for
large $\tau$, the system will evolve towards the Bosonic solution.
I AM HERE
For the systems you will study this is not an issue:
- Hydrogen atom: You only have one electron!
- Two-electron system ($H_2$ or He): The ground-wave function is antisymmetric
in the spin variables but symmetric in the space ones.
Therefore, in both cases, you are dealing with a "Bosonic" ground state.
** Importance sampling
@ -2205,17 +2214,44 @@ gfortran hydrogen.f90 qmc_stats.f90 vmc_metropolis.f90 -o vmc_metropolis
changing the number of particles according to $\exp\left[ -\delta t\,
\left(E_L(\mathbf{r}) - E_T\right)\right]$
where $E_T$ is the constant we had introduced above, which is adjusted to
the running average energy and is introduced to keep the number of particles
the running average energy to keep the number of particles
reasonably constant.
This equation generates the /N/-electron density $\Pi$, which is the
product of the ground state with the trial wave function. It
introduces the constraint that $\Pi(\mathbf{r},\tau)=0$ where
$\Psi_T(\mathbf{r})=0$. In the few cases where the wave function has no nodes,
such as in the hydrogen atom or the H_2 molecule, this
constraint is harmless and we can obtain the exact energy. But for
systems where the wave function has nodes, this scheme introduces an
error known as the /fixed node error/.
product of the ground state with the trial wave function. You may then ask: how
can we compute the total energy of the system?
To this aim, we use the mixed estimator of the energy:
\begin{eqnarray*}
E(\tau) &=& \frac{\langle \psi(tau) | \hat{H} | \Psi_T \rangle}{\frac{\langle \psi(tau) | \Psi_T \rangle}\\
&=& \frac{\int \psi(\mathbf{r},\tau) \hat{H} \Psi_T(\mathbf{r}) d\mathbf{r}}
{\int \psi(\mathbf{r},\tau) \Psi_T(\mathbf{r}) d\mathbf{r}} \\
&=& \int \psi(\mathbf{r},\tau) \Psi_T(\mathbf{r}) E_L(\mathbf{r}) d\mathbf{r}}
{\int \psi(\mathbf{r},\tau) \Psi_T(\mathbf{r}) d\mathbf{r}}
\end{eqnarray*}
Since, for large $\tau$, we have that
\[
\Pi(\mathbf{r},\tau) =\psi(\mathbf{r},\tau) \Psi_T(\mathbf{r}) \rightarrow \Phi_0(\mathbf{r}) \Psi_T(\mathbf{r})\,,
\]
and, using that $\hat{H}$ is Hermitian and that $\Phi_0$ is an eigenstate of the Hamiltonian, we obtain
\[
E(\tau) = \frac{\langle \psi_\tau | \hat{H} | \Psi_T \rangle}
{\langle \psi_\tau | \Psi_T \rangle}
= \frac{\langle \Psi_T | \hat{H} | \psi_\tau \rangle}
{\langle \Psi_T | \psi_\tau \rangle}
\rightarrow E_0 \frac{\langle \Psi_T | \psi_\tau \rangle}
{\langle \Psi_T | \psi_\tau \rangle}
= E_0
\]
Therefore, we can compute the energy within DMC by generating the
density $\Pi$ with random walks, and simply averaging the local
energies computed with the trial wave function.
*** Appendix : Details of the Derivation
@ -2263,51 +2299,11 @@ gfortran hydrogen.f90 qmc_stats.f90 vmc_metropolis.f90 -o vmc_metropolis
\right] + E_L(\mathbf{r}) \Pi(\mathbf{r},\tau)
\]
** Fixed-node DMC energy
Now that we have a process to sample $\Pi(\mathbf{r},\tau) =
\psi(\mathbf{r},\tau) \Psi_T(\mathbf{r})$, we can compute the exact
energy of the system, within the fixed-node constraint, as:
\[
E = \lim_{\tau \to \infty} \frac{\int \Pi(\mathbf{r},\tau) E_L(\mathbf{r}) d\mathbf{r}}
{\int \Pi(\mathbf{r},\tau) d\mathbf{r}} = \lim_{\tau \to
\infty} E(\tau).
\]
\[
E(\tau) = \frac{\int \psi(\mathbf{r},\tau) \Psi_T(\mathbf{r}) E_L(\mathbf{r}) d\mathbf{r}}
{\int \psi(\mathbf{r},\tau) \Psi_T(\mathbf{r}) d\mathbf{r}}
= \frac{\int \psi(\mathbf{r},\tau) \hat{H} \Psi_T(\mathbf{r}) d\mathbf{r}}
{\int \psi(\mathbf{r},\tau) \Psi_T(\mathbf{r}) d\mathbf{r}}
= \frac{\langle \psi_\tau | \hat{H} | \Psi_T \rangle}
{\langle \psi_\tau | \Psi_T \rangle}
\]
As $\hat{H}$ is Hermitian,
\[
E(\tau) = \frac{\langle \psi_\tau | \hat{H} | \Psi_T \rangle}
{\langle \psi_\tau | \Psi_T \rangle}
= \frac{\langle \Psi_T | \hat{H} | \psi_\tau \rangle}
{\langle \Psi_T | \psi_\tau \rangle}
= E[\psi_\tau] \frac{\langle \Psi_T | \psi_\tau \rangle}
{\langle \Psi_T | \psi_\tau \rangle}
= E[\psi_\tau]
\]
So computing the energy within DMC consists in generating the
density $\Pi$ with random walks, and simply averaging the local
energies computed with the trial wave function.
** Pure Diffusion Monte Carlo (PDMC)
Instead of having a variable number of particles to simulate the
branching process, one can choose to sample $[\Psi_T(\mathbf{r})]^2$ instead of
$\psi(\mathbf{r},\tau) \Psi_T(\mathbf{r})$, and consider the term
$\exp \left( -\delta t\,( E_L(\mathbf{r}) - E_{\text{ref}} \right)$ as a
branching process, one can consider the term
$\exp \left( -\delta t\,( E_L(\mathbf{r}) - E_T} \right)$ as a
cumulative product of weights:
\[