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Rewrite DMC

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Anthony Scemama 2021-02-02 22:47:44 +01:00
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@ -2153,6 +2153,15 @@ gfortran hydrogen.f90 qmc_stats.f90 vmc_metropolis.f90 -o vmc_metropolis
* Diffusion Monte Carlo :solution:
As we have seen, Variational Monte Carlo is a powerful method to
compute integrals in large dimensions. It is often used in cases
where the expression of the wave function is such that the integrals
can't be evaluated (multi-centered Slater-type orbitals, correlation
factors, etc).
Diffusion Monte Carlo is different. It goes beyond the computation
of the integrals associated with an input wave function, and aims at
finding a near-exact numerical solution to the Schrödinger equation.
** Schrödinger equation in imaginary time
@ -2198,51 +2207,36 @@ gfortran hydrogen.f90 qmc_stats.f90 vmc_metropolis.f90 -o vmc_metropolis
imaginary time will converge to the exact ground state of the
system.
** Diffusion and branching
** Relation to diffusion
The imaginary-time Schrödinger equation can be explicitly written in terms of the kinetic and
potential energies as
The [[https://en.wikipedia.org/wiki/Diffusion_equation][diffusion equation]] of particles is given by
\[
\frac{\partial \psi(\mathbf{r}, \tau)}{\partial \tau} = \left(\frac{1}{2}\Delta - [V(\mathbf{r}) -E_{\rm ref}]\right) \psi(\mathbf{r}, \tau)\,.
\frac{\partial \psi(\mathbf{r},t)}{\partial t} = D\, \Delta \psi(\mathbf{r},t)
\]
We can simulate this differential equation as a diffusion-branching process.
To see this, recall that the [[https://en.wikipedia.org/wiki/Diffusion_equation][diffusion equation]] of particles is given by
where $D$ is the diffusion coefficient. When the imaginary-time
Schrödinger equation is written in terms of the kinetic energy and
potential,
\[
\frac{\partial \psi(\mathbf{r},t)}{\partial t} = D\, \Delta \psi(\mathbf{r},t).
\frac{\partial \psi(\mathbf{r}, \tau)}{\partial \tau} =
\left(\frac{1}{2}\Delta - [V(\mathbf{r}) -E_{\rm ref}]\right) \psi(\mathbf{r}, \tau)\,,
\]
Furthermore, the [[https://en.wikipedia.org/wiki/Reaction_rate][rate of reaction]] $v$ is the speed at which a chemical reaction
takes place. In a solution, the rate is given as a function of the
concentration $[A]$ by
\[
v = \frac{d[A]}{dt},
\]
where the concentration $[A]$ is proportional to the number of particles.
These two equations allow us to interpret the Schrödinger equation
in imaginary time as the combination of:
- a diffusion equation with a diffusion coefficient $D=1/2$ for the
kinetic energy, and
- a rate equation for the potential.
it can be identified as the combination of:
- a diffusion equation (Laplacian)
- an equation whose solution is an exponential (potential)
The diffusion equation can be simulated by a Brownian motion:
\[ \mathbf{r}_{n+1} = \mathbf{r}_{n} + \sqrt{\delta t}\, \chi \]
where $\chi$ is a Gaussian random variable, and the rate equation
where $\chi$ is a Gaussian random variable, and the potential term
can be simulated by creating or destroying particles over time (a
so-called branching process).
so-called branching process) or by simply considering it as a
cumulative multiplicative weight along the diffusion trajectory.
In /Diffusion Monte Carlo/ (DMC), one onbtains the ground state of a
system by simulating the Schrödinger equation in imaginary time via
the combination of a diffusion process and a branching process.
We note that the ground-state wave function of a Fermionic system is
antisymmetric and changes sign. Therefore, its interpretation as a probability
@ -2253,17 +2247,17 @@ gfortran hydrogen.f90 qmc_stats.f90 vmc_metropolis.f90 -o vmc_metropolis
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.
- 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
In a molecular system, the potential is far from being constant
and, in fact, diverges at the inter-particle coalescence points. Hence, when the
rate equation is simulated, it results in very large fluctuations
in the numbers of particles, making the calculations impossible in
practice.
and, in fact, diverges at the inter-particle coalescence points. Hence,
it results in very large fluctuations of the term associated with
the potental, making the calculations impossible in practice.
Fortunately, if we multiply the Schrödinger equation by a chosen
/trial wave function/ $\Psi_T(\mathbf{r})$ (Hartree-Fock, Kohn-Sham
determinant, CI wave function, /etc/), one obtains
@ -2285,8 +2279,8 @@ gfortran hydrogen.f90 qmc_stats.f90 vmc_metropolis.f90 -o vmc_metropolis
The new "kinetic energy" can be simulated by the drift-diffusion
scheme presented in the previous section (VMC).
The new "potential" is the local energy, which has smaller fluctuations
when $\Psi_T$ gets closer to the exact wave function. This term can be simulated by
changing the number of particles according to $\exp\left[ -\delta t\,
when $\Psi_T$ gets closer to the exact wave function.
This term can be simulated by t particles according to $\exp\left[ -\delta t\,
\left(E_L(\mathbf{r}) - E_{\rm ref}\right)\right]$
where $E_{\rm ref}$ is the constant we had introduced above, which is adjusted to
the running average energy to keep the number of particles