Compressing Green's function using intermediate representation between imaginary-time and real-frequency domains
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Abstract (arXiv)
New model-independent compact representations of imaginary-time data are presented in terms of the intermediate representation (IR) of analytical continuation. This is motivated by a recent numerical finding by the authors [J. Otsuki et al., arXiv:1702.03056]. We demonstrate the efficiency of the IR through continuous-time quantum Monte Carlo calculations of an Anderson impurity model. We find that the IR yields a significantly compact form of various types of correlation functions. The present framework will provide general ways to boost the power of cutting-edge diagrammatic/quantum Monte Carlo treatments of many-body systems.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 10 Feb 2017.
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- 2021Learned Optimizers for Analytic Continuationcited by 0
- 2021Learned Optimizers for Analytic Continuation28 Jul 2021