Abstract
We review the conceptual and mathematical foundations of reptation quantum Monte Carlo and its variants, placing them in the context of other path integral-based methods and the commonly-used diffusion Monte Carlo method. We describe quantum Monte Carlo sampling from the pure distribution, and strategies to improve the efficiency of this sampling. This is followed by a compilation of applications to electronic structure problems and to those in condensed matter physics. We conclude by reflecting on potential improvements of quantum Monte Carlo algorithms and how they will evolve with developments in high performance computing.
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Acknowledgements
This work was supported, in part, by grants from the Natural Sciences and Engineering Research Council of Canada (NSERC).
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Yuen, W.K., Rothstein, S.M. (2012). A Survey on Reptation Quantum Monte Carlo. In: Hoggan, P., Brändas, E., Maruani, J., Piecuch, P., Delgado-Barrio, G. (eds) Advances in the Theory of Quantum Systems in Chemistry and Physics. Progress in Theoretical Chemistry and Physics, vol 22. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2076-3_18
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