Quantum Monte Carlo Methods

DOI10.1017/CBO9780511902581zbMath1366.81003OpenAlexW3012936479MaRDI QIDQ2814192

Philipp Werner, Naoki Kawashima, James E. Gubernatis

Publication date: 20 June 2016

Full work available at URL: https://doi.org/10.1017/cbo9780511902581

Mathematics Subject Classification ID

Bayesian inference (62F15) Monte Carlo methods (65C05) Numerical analysis or methods applied to Markov chains (65C40) Research exposition (monographs, survey articles) pertaining to quantum theory (81-02) Computational methods for problems pertaining to quantum theory (81-08) Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics (82B20) Applications of functional analysis in quantum physics (46N50) Quantum algorithms and complexity in the theory of computing (68Q12)

Related Items (10)

ACFlow: an open source toolkit for analytic continuation of quantum Monte Carlo data ⋮ \textbf{NESSi}: The \textbf{N}on-\textbf{E}quilibrium \textbf{S}ystems \textbf{Si}mulation package ⋮ DSQSS: Discrete space quantum systems solver ⋮ mVMC -- open-source software for many-variable variational Monte Carlo method ⋮ SpM: sparse modeling tool for analytic continuation of imaginary-time Green's function ⋮ Establishing simple relationship between eigenvector and matrix elements ⋮ Deterministic quantum annealing expectation-maximization algorithm ⋮ Unifying neural-network quantum states and correlator product states via tensor networks ⋮ Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation ⋮ Compact neural-network quantum state representations of Jastrow and stabilizer states

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