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Computational Solid State Physics 計算物性学特論 第8回 8. Many-body effect II: Quantum Monte Carlo method.

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Presentation on theme: "Computational Solid State Physics 計算物性学特論 第8回 8. Many-body effect II: Quantum Monte Carlo method."— Presentation transcript:

1 Computational Solid State Physics 計算物性学特論 第8回 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 Imaginary Time The ground state wave function can be obtained in the limit of infinite time. Time-dependent Schrödinger equation

5 diffusionbranching Diffusion equation holds for Diffusion equation with branching process for the ground state wave function

6 Diffusion equation for particles Flux: Conservation of number of particles: D : diffusion constant, v d : drift velocity Diffusion equation diffusion flux drift flux

7 Rate equation R>0 : growth rate R<0: decay rate

8 Time-dependent Green ’ s function : Boundary Condition

9 Time evolution of wave function

10 Short time approximation

11 The transition probability from x to y can be simulated by random walk in 3N dimensions for N electron system. Green’s function of the classical diffusion equation

12 The branching process can be simulated by the creation or destruction of walkers with probability G B Green’s function of the rate equation

13 Importance sampling : Local energy : Quantum force : analytical trial fn. Diffusion Drift Branching Diffusion equation with branching process

14 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. Biased diffusion Green ’ s function

15 Detailed balance condition To guarantee equilibrium Acceptance ratio of move of the walker from x to y

16 DMCImportance-sampled DMC suppression of branching process DMC and Importance-sampled DMC for the hydrogen atom Branching process:

17 Walker 1 Walker 2 Walker 3 Walker 4 Branching Biased diffusion Schematic of the Green’s 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 Wave function φ is assumed to have the same nodes with Ψ D. Importance sampling on condition

21 Pauli principle for n like-spin electrons Slater determinant Slater determinant has nodes.

22 Fixed phase approximation Wave function φ is assumed to have the same phase with Importance sampling on condition

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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