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Variational and diffusion quantum Monte Carlo calculations with the CASINO code.

R J Needs1, M D Towler2, N D Drummond3

  • 1TCM Group, Cavendish Laboratory, University of Cambridge, 19 J. J. Thomson Avenue, Cambridge CB3 0HE, United Kingdom.

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Summary
This summary is machine-generated.

This study overviews variational and diffusion quantum Monte Carlo methods in the CASINO program, detailing recent advancements in algorithms, software, and applications.

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Area of Science:

  • Computational Physics
  • Quantum Chemistry

Background:

  • Quantum Monte Carlo (QMC) methods are powerful tools for studying many-body quantum systems.
  • The CASINO program is a widely used implementation of QMC methods.

Purpose of the Study:

  • To provide an overview of variational and diffusion quantum Monte Carlo methods.
  • To highlight recent developments in QMC algorithms and software within the last decade.
  • To discuss the strengths and weaknesses of these methods and their applications.

Main Methods:

  • Focus on variational and diffusion quantum Monte Carlo algorithms.
  • Description of state-of-the-art QMC software implementations.
  • Review of recent applications in various scientific domains.

Main Results:

  • Detailed account of advancements in QMC methodologies.
  • Comparative analysis of different QMC algorithms and software.
  • Illustrative examples of successful QMC applications.

Conclusions:

  • QMC methods, particularly as implemented in CASINO, continue to evolve with significant algorithmic and software improvements.
  • These methods offer robust capabilities for tackling complex quantum mechanical problems.
  • Recent applications demonstrate the broad utility and effectiveness of QMC in scientific research.