Abstract
The semiclassical approximation serves as an ideal basis for Monte Carlo evaluation of Euclidean path integrals. When the semiclassical approximation is good, the averaging converges rapidly. Comparison with conventional techniques shows a great advantage in computational efficiency. A simple one-dimensional example is presented, along with a discussion of how the technique is extended to several degrees of freedom.
- Received 25 July 1986
DOI:https://doi.org/10.1103/PhysRevLett.57.2603
©1986 American Physical Society