The Basics of Quantum Monte Carlo

By Lucas Wagner1, Jeffrey C Grossman2, Jeffrey B. Neaton3

1. University of Illinois at Urbana-Champaign 2. Massachusetts Institute of Technology 3. Lawrence Berkeley National Laboratory

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Abstract

Quantum Monte Carlo is a highly accurate method to approximately solve the Schrodinger equation. I explain quantum Monte Carlo in a way that should be accessible to someone who is somewhat familiar with quantum mechanics. The discussion is mostly conceptual.

Bio

Lucas Wagner is a postdoctoral researcher in the Computational Nanosciences group at UC Berkeley, under the supervision of Dr. Jeffrey Grossman. One of his PhD projects was the development of a general purpose quantum Monte Carlo program available under the GPL at www.qwalk.org.

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Cite this work

Researchers should cite this work as follows:

  • Lucas Wagner, Jeffrey C Grossman, Jeffrey B. Neaton (2007), "The Basics of Quantum Monte Carlo," https://nanohub.org/resources/2816.

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Tags

  1. computational chemistry
  2. computational materials science
  3. introductory
  4. materials science
  5. Monte Carlo
  6. NCN Group - Materials Science
  7. quantum
  8. quantum chemistry
  9. quantum mechanics
  10. QWalk