Direct sampling of the self-energy with Connected Determinant Monte Carlo
classification
❄️ cond-mat.str-el
keywords
connecteddeterminantself-energyalgorithmcarlodiagrammaticdirectdirectly
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In this note, we present an efficient algorithm to sample directly the self-energy in the framework of the Connected Determinant technique. The introduction of the formalism of many-variable formal power series is essential to the proof, and more generally it is a natural mathematical tool for diagrammatic expansions.
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