| Gaussian Quantum Monte Carlo Methods are a class of simulation methods based on phase-space representations of quantum states. Successful simulations of the Hubbard model showed that, for this case, GQMC did not suffer the same sort of 'classic' sign problem as other comparable methods. However, GQMC does have its own difficulties. A known issue in phase-space methods is to do with the boundedness of the underlying distribution, and the ability of stochastic equations to sample this distribution. I will cover recent investigations into the type of distributions that arise for interacting systems, the effectiveness of 'stochastic gauges' to control distribution tails, and efficient simulation methods. |
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