2006
DOI: 10.1103/physrevb.73.125112
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Gaussian phase-space representations for fermions

Abstract: We introduce a positive phase-space representation for fermions, using the most general possible multimode Gaussian operator basis. The representation generalizes previous bosonic quantum phase-space methods to Fermi systems. We derive equivalences between quantum and stochastic moments, as well as operator correspondences that map quantum operator evolution onto stochastic processes in phase space. The representation thus enables first-principles quantum dynamical or equilibrium calculations in many-body Ferm… Show more

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Cited by 64 publications
(113 citation statements)
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References 69 publications
(79 reference statements)
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“…Moreover, the overcompleteness of the basis leads to the existence of equivalent transformations of quasiprobability master equations, which allows us to perform their stochastic unraveling. Such a structure is already known to occur in the representations of quantum mechanics in generalized phase spaces [23][24][25][26]. We also demonstrate that the stochastic wave-function methods [8,[12][13][14][15][16][17][18][19][20]36] also fall into this category of stochastic representations.…”
Section: Resultssupporting
confidence: 57%
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“…Moreover, the overcompleteness of the basis leads to the existence of equivalent transformations of quasiprobability master equations, which allows us to perform their stochastic unraveling. Such a structure is already known to occur in the representations of quantum mechanics in generalized phase spaces [23][24][25][26]. We also demonstrate that the stochastic wave-function methods [8,[12][13][14][15][16][17][18][19][20]36] also fall into this category of stochastic representations.…”
Section: Resultssupporting
confidence: 57%
“…The space L is usually called the generalized phase space [23][24][25][26], due to its intrinsic analogy to the phase space in the deformation quantization [27]. We suppose that the stochastic representation provides us with a methodology for how to assign a positive quasiprobability distribution P (λ) to anyρ ∈ P + .…”
Section: The Classical Stochastic Representationmentioning
confidence: 99%
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“…Further support was provided by dynamical mean-field theory ͑DMFT͒ and dynamical cluster approximation ͑DCA͒ results ͑for a review, see Ref. 11͒. However, recent studies by Aimi and Imada, 12 using a sign-problem-free Gaussian-basis Monte Carlo ͑GBMC͒ algorithm 13 showed that the Hubbard model does not account for high-temperature superconductivity either. This remarkable result is in line with earlier numerical studies using the auxiliary-field quantum Monte Carlo ͑Ref.…”
mentioning
confidence: 99%