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.

SPP 2004 Proceedings Cover

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Published

2004-10-25

Issue

2004: Proceedings of the 22nd Samahang Pisika ng Pilipinas Physics Congress

Section

Poster Session PB

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How to Cite

[1]
“Variational Monte Carlo of a 2D quantum well system”, Proc. SPP, vol. 22, no. 1, p. SPP-2004-PB-34, Oct. 2004, Accessed: Apr. 08, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2004-PB-34