Quantum Monte Carlo Methods

£69.00

Quantum Monte Carlo Methods

Algorithms for Lattice Models

Mathematics and Science Physics Materials / States of matter Condensed matter physics (liquid state and solid state physics) Quantum physics (quantum mechanics and quantum field theory) Mathematical physics Computing and Information Technology Computer science

Authors: James Gubernatis, Naoki Kawashima, Philipp Werner

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Language: English

Published by: Cambridge University Press

Published on: 2nd June 2016

Format: LCP-protected ePub

Size: 12 Mb

ISBN: 9781316481837


Overview

Featuring detailed explanations of the major algorithms used in quantum Monte Carlo simulations, this is the first textbook of its kind to provide a pedagogical overview of the field and its applications.

Contents

The book provides a comprehensive introduction to the Monte Carlo method, its use, and its foundations, and examines algorithms for the simulation of quantum many-body lattice problems at finite and zero temperature.

These algorithms include continuous-time loop and cluster algorithms for quantum spins, determinant methods for simulating fermions, power methods for computing ground and excited states, and the variational Monte Carlo method.

Also discussed are continuous-time algorithms for quantum impurity models and their use within dynamical mean-field theory, along with algorithms for analytically continuing imaginary-time quantum Monte Carlo data.

The parallelization of Monte Carlo simulations is also addressed.

Intended Audience

This is an essential resource for graduate students, teachers, and researchers interested in quantum Monte Carlo techniques.

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