ACFlow: an open source toolkit for analytic continuation of quantum Monte Carlo data

DOI10.1016/J.CPC.2023.108863arXiv2211.16692MaRDI QIDQ6051361

Li Huang

Publication date: 20 September 2023

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2211.16692

zbMATH Keywords

spectral representationmaximum entropy methodanalytic continuation problemstochastic optimization methodquantum Monte Carlo simulationstochastic analytic continuation

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Continuation of analytic objects in several complex variables (32D15) Spectrum, resolvent (47A10) Dynamical systems in optimization and economics (37N40) Fundamental solutions, Green's function methods, etc. for initial value and initial-boundary value problems involving PDEs (65M80) Quantum entropies (81P17) Mathematical modeling or simulation for problems pertaining to quantum theory (81-10)

Cites Work

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• Optimization by Simulated Annealing
• \(i \operatorname{QIST}\): An open source continuous-time quantum Monte Carlo impurity solver toolkit
• Implementation of the maximum entropy method for analytic continuation
• Pole recovery from noisy data on imaginary axis
• Progress on stochastic analytic continuation of quantum Monte Carlo data
• Quantum Monte Carlo Methods
• Projected regression method for solving Fredholm integral equations arising in the analytic continuation problem of quantum physics
• \texttt{TRIQS/SOM} 2.0: Implementation of the stochastic optimization with consistent constraints for analytic continuation
• ana\_cont: python package for analytic continuation
• \texttt{TRIQS/SOM}: implementation of the stochastic optimization method for analytic continuation

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