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Computational Physics Quantum Monte Carlo methods

Computational Physics Quantum Monte Carlo methods. Dr. Guy Tel- Zur. References. MHJ Chapter 11 Giordano & Nakanishi Chapter 10 R. Landau et al Chapter 15. Many Body System. Schrödinger’s equation.

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Computational Physics Quantum Monte Carlo methods

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  1. Computational PhysicsQuantum Monte Carlo methods Dr. Guy Tel-Zur

  2. References • MHJ Chapter 11 • Giordano & Nakanishi Chapter 10 • R. Landau et al Chapter 15

  3. Many Body System Schrödinger’s equation for a system of A nucleons (A = N + Z), N being the number of neutrons and Z the number of protons). There are: coupled second-order differential equations in 3A dimensions. For a nucleus like 10Be this number is 215040. This is a truly challenging many-body problem.

  4. Eq. (11.1) is a multidimensional integral. As such, Monte Carlo methods are ideal for obtaining expectation values of quantum mechanical operators. Our problem is that we do not know the exact Wave function Psi(r1, .., rA, α1, .., αN). Our goal in this chapter is to solve the problem using VariationalMonte Carlo approach to quantum mechanics. We limit the attention to the simple Metropolisalgorithm, without the inclusion of importance sampling. Importance sampling and diffusion Monte Carlo methods are discussed in chapters 18 and 16. Before that we give a short review about Quantum Mechanics in the next slides

  5. Postulates of Quantum Mechanics Schrödinger’s equation for a one-dimensional one body problem: if we perform a rotation of time into the complex plane, using τ = it/hbar, the time-dependent Schrödinger equation becomes With V = 0 we have a diffusion equation in complex time!

  6. The diffusion constant: The wave function have to satisfy:

  7. As a result of Postulate III:

  8. We could briefly summarize the above variational procedure in the following three steps.

  9. Variational Monte Carlo for quantum mechanical systems The quantum PDF:

  10. We proceed with the Metropilis algorithm in a similar way as we did with the Ising Model:

  11. An illustration of variational Monte Carlo methods

  12. Recall Eq. 11.16:

  13. Variational Monte Carlo for atoms

  14. The Born-Oppenheimer Approximation The separation of the electronic and nuclear degrees of freedom is known as the Born-Oppenheimer approximation The first term of Eq. (11.41) represents the kinetic energy operator of the center of mass. The second term represents the sum of the kinetic energy operators of the N electrons, each of them having their mass m replaced by the reduced mass μ = mM/(m + M) because of the motion of the nucleus. The nuclear motion is also responsible for the third term, or the mass polarization term.

  15. Taking the limit M → ∞ in Eq. (11.41), the kinetic energy operator reduces to The inter-electronic potentials are the main problem in atomic physics. Because of these terms, the Hamiltonian cannot be separated into one-particle parts, and the problem must be solved as a whole. A common approximation is to regard the effects of the electron-electron interactions either as averaged over the domain or by means of introducing a density functional, such as by Hartree-Fock (HF) or Density Functional Theory (DFT).

  16. The next topics : • The Hydrogen atom • The Helium atom

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