Detecting phase-transitions in electronic lattice-models with DCA$^+$
ORAL
Abstract
The DCA$^+$ algortihm was recently introduced to extend the dynamic cluster approximation (DCA) by introducing a self-energy with continuous momentum dependence. This removes artificial long-range correlations and thereby reduces the fermion sign problem as well as cluster shape dependencies. Here, we extend the DCA$^+$ algorithm to the calculation of two-particle quantities by introducing irreducible vertex functions with continuous momentum dependence compatible with the DCA$^+$ self-energy. This enables the study of phase transitions within the DCA$^+$ framework in a much more controlled fashion than with the DCA. We validate the new method using a calculation of the superconducting transition temperature $T_c$ in the attractive Hubbard model by reproducing previous high-precision finite size quantum Monte Carlo results. We then calculate $T_c$ in the doped repulsive Hubbard model, for which previous DCA calculations could only access the weak-coupling ($U=4t$) regime for large clusters. We show that the new algorithm provides access to much larger clusters and thus asymptotic converged results for $T_c$ for both the weak ($U=4t$) and intermediate ($U=7t$) coupling regimes, and thereby enables the accurate determination of the exact infinite cluster size result.
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Authors
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Peter Staar
Institute for Theoretical Physics, ETH Zurich, ETH Zurich
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Thomas Maier
Center for Nanophase Materials Sciences and Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, Center for Nanophase Materials Sciences and Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6494, USA, Oak Ridge National Laboratory, ORNL
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Thomas Schulthess
ETH Zurich/ Swiss National Supercomputing Center (CSCS), Institute for Theoretical Physics, ETH Zurich, ETH Zurich