The application of Monte Carlo methods to path integral simulations of condensed matter systems was first pursued in a key paper by John A.
[6][7] As with all Monte Carlo method based approaches, a large number of points must be calculated.
However, for some properties the correction may cause model predictions to initially become less accurate than neglecting them if a small number of path descriptors are included.
[14] Numerous applications have been made to other systems, including liquid water[15] and the hydrated electron.
[16] The algorithms and formalism have also been mapped onto non-quantum mechanical problems in the field of financial modeling, including option pricing.