Computational Solid State Physics ??????? ?8? - PowerPoint PPT Presentation

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Computational Solid State Physics ??????? ?8?

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Diffusion Monte Carlo method to calculate the ground state ... D.M.Ceperley, B.J.Alder: PRL 45(1980)566. Transition of the ground state of free electrons ... – PowerPoint PPT presentation

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Title: Computational Solid State Physics ??????? ?8?


1
Computational Solid State Physics ??????? ?8?
  • 8. Many-body effect II
  • Quantum Monte Carlo method

2
Quantum diffusion Monte Carlo method
  • Diffusion Monte Carlo method to calculate the
    ground state
  • Importance sampling method
  • How to treat the Pauli principle
  • fixed node approximation

3
Schrödinger equation in atomic unit
How to solve the Schrödinger equation for many
electrons?
4
Time-dependent Schrödinger equation
Imaginary Time
The ground state wave function can be obtained in
the limit of infinite time.
5
Diffusion equation with branching process for the
ground state wave function
diffusion
branching
Diffusion equation holds for
6
Diffusion equation for particles
Flux
diffusion flux drift flux
D diffusion constant, vd drift velocity
Conservation of number of particles
Diffusion equation
7
Rate equation
Rgt0 growth rate Rlt0 decay rate
8
Time-dependent Greens function
Boundary Condition
9
Time evolution of wave function
10
Short time approximation
11
Greens function of the classical diffusion
equation
The transition probability from x to y can be
simulated by random walk in 3N dimensions for N
electron system.
12
Greens function of the rate equation
The branching process can be simulated by the
creation or destruction of walkers with
probability GB
13
Importance sampling
analytical trial fn.
Diffusion equation with branching process
Diffusion
Branching
Drift
Local energy
Quantum force
14
Biased diffusion Greens function
Kinetic energy operator
Drift term
The transition probability from x to y can be
simulated by biased random walk with quantum
force F in 3N dimensions for N electron system.
15
Detailed balance condition
To guarantee equilibrium
Acceptance ratio of move of the walker from x to
y
16
DMC and Importance-sampled DMC for the hydrogen
atom
Branching process
suppression of branching process
DMC
Importance-sampled DMC
17
Schematic of the Greens function Monte Carlo
calculation with importance sampling for 3
electrons
18
Evaluation of the ground state energy
19
How to remove the condition ?
  • Fixed node approximation
  • to treat wave functions with nodes
  • Fixed phase approximation
  • to treat complex wave functions

20
Fixed node approximation
Importance sampling on condition
Wave function f is assumed to have the same nodes
with ?D.
21
Pauli principle for n like-spin electrons
Slater determinant
Slater determinant has nodes.
22
Fixed phase approximation
Importance sampling on condition
Wave function f is assumed to have the same phase
with
23
Ground states of free electrons
D.M.Ceperley, B.J.Alder PRL 45(1980)566
24
Transition of the ground state of free electrons
  • Unpolarized Fermi fluid
  • Polarized Fermi fluid
  • Wigner crystal

n concentration of free electrons
25
Problems 8
  • Calculate the ground state wave function of a
    hydrogen atom, using the diffusion Monte Carlo
    method.
  • Consider how to calculate the ground state
    energy.
  • Calculate the ground state of a hydrogen atom,
    using the diffusion Monte Carlo method with
    importance sampling method. Assume the trial
    function as follows.
  • Derive the diffusion equation for
    in importance sampling method.
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