2012
DOI: 10.1103/physrevb.86.235116
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Quantum Monte Carlo calculation of entanglement Rényi entropies for generic quantum systems

Abstract: We present a general scheme for the calculation of the Rényi entropy of a subsystem in quantum many-body models that can be efficiently simulated via quantum Monte Carlo. When the simulation is performed at very low temperature, the above approach delivers the entanglement Rényi entropy of the subsystem, and it allows us to explore the crossover to the thermal Rényi entropy as the temperature is increased. We implement this scheme explicitly within the stochastic series expansion as well as within path-integra… Show more

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Cited by 113 publications
(184 citation statements)
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“…Such terms have been calculated previously using methods known as "ratio tricks" [23,24]. This is typically done by generating a valid state from partition function Z[A i , n, β] and looking at the weight of the same configuration as a state from the partition function Z[A i+1 , n, β].…”
Section: (C)mentioning
confidence: 99%
“…Such terms have been calculated previously using methods known as "ratio tricks" [23,24]. This is typically done by generating a valid state from partition function Z[A i , n, β] and looking at the weight of the same configuration as a state from the partition function Z[A i+1 , n, β].…”
Section: (C)mentioning
confidence: 99%
“…By employing an extended-ensemble generalization of a ratio method [22][23][24], we are able to carefully converge the mutual information of the second Rényi entropy to its low-temperature value. There, finite-size scaling reveals the coefficient of the subleading logarithmic term to precisely match the prediction of Metlitski and Grover, identifying the lone Goldstone mode in the theory.…”
mentioning
confidence: 99%
“…Rather, one needs a calculation of the quantity in an interacting theory -the lack of which we hope will motivate future field-theoretic calculations of a α at the Wilson-Fisher fixed point. The coefficient −aα from fitting cα to the function aα log √ O + bα (purple dots) plotted along with other numerical estimates of −aα from free scalar field theory [4] (green diamonds), tensor tree network [22] (red star), finite-T QMC [20] (yellow square), and series expansion [18,19] (black circle). Standard error from the fit is shown for integer values of α. Inset: cα for α = 1, 2, 10 along with fits plotted vs 1/ √ O on a logarithmic scale.…”
mentioning
confidence: 99%