Variational Monte Carlo of a 2D quantum well system

Authors

  • Ryan Sandagon ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Ronald Banzon ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Cristine Villagonzalo ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

The convergence of a Variational Monte Carlo method with Gaussian importance sampling (VMC-GIS), as applied to a two-dimensional time-independent quantum well, was improved by optimizing the standard deviation σ of the Gaussian probability distribution. The fastest convergence in attaining the ground state is obtained by using VMC-GIS with σ = 0.6.

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Issue

Article ID

SPP-2004-PB-34

Section

Poster Session PB

Published

2004-10-25

How to Cite

[1]
R Sandagon, R Banzon, and C Villagonzalo, Variational Monte Carlo of a 2D quantum well system, Proceedings of the Samahang Pisika ng Pilipinas 22, SPP-2004-PB-34 (2004). URL: https://proceedings.spp-online.org/article/view/SPP-2004-PB-34.