Gaussian quantum Monte Carlo methods for fermions
classification
🪐 quant-ph
cond-mat.soft
keywords
gaussianmethodsquantumcarlomonterepresentationsystemsapplication
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We introduce a new class of quantum Monte Carlo methods, based on a Gaussian quantum operator representation of fermionic states. The methods enable first-principles dynamical or equilibrium calculations in many-body Fermi systems, and, combined with the existing Gaussian representation for bosons, provide a unified method of simulating Bose-Fermi systems. As an application, we calculate finite-temperature properties of the two dimensional Hubbard model.
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