Monte Carlo Simulations with Indefinite and Complex-Valued Measures
arXiv:hep-lat/9311072 · doi:10.1103/PhysRevE.49.3855
Abstract
A method is presented to tackle the sign problem in the simulations of systems having indefinite or complex-valued measures. In general, this new approach is shown to yield statistical errors smaller than the crude Monte Carlo using absolute values of the original measures. Exactly solvable, one-dimensional Ising models with complex temperature and complex activity illustrate the considerable improvements and the workability of the new method even when the crude one fails.
10 A4 pages, postscript (140K), UM-P-93-70
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