Quantum Monte Carlo Methods
Algorithms for Lattice Models
Published on 18. May 2016
978-1-316-48484-5 (ISBN)
Description
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. 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. This is an essential resource for graduate students, teachers, and researchers interested in quantum Monte Carlo techniques.
Reviews / Votes
'There's a lot in here but it is explained clearly with many outline algorithms and exercises ... I'm sure it will become a standard reference in this area for some time because of the range of ... techniques it describes and the care that has gone in to explaining them as clearly as possible given the technical nature of the subject.' Keith A. Benedict, Contemporary PhysicsMore details
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Illustrations
37 Halftones, unspecified; 23 Line drawings, unspecified
File size
6079,64 MB
ISBN-13
978-1-316-48484-5 (9781316484845)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
James Gubernatis | Naoki Kawashima | Philipp Werner
Quantum Monte Carlo Methods
Algorithms for Lattice Models
Book
06/2016
Cambridge University Press
€107.30
Shipment within 15-20 days
Persons
James Gubernatis works at the Los Alamos National Laboratory. He is a Fellow of the APS and was elected Chair of the APS' Division of Computational Physics. He has represented the United States on the Commission of Computational Physics of IUPAP for nine years, and has chaired the Commission for three years. Naoki Kawashima is a Professor at the University of Tokyo. He is a member of the Society of Cognitive Science, and has been a member of the Steering Committee for the Public Use of the Supercomputer at the ISSP for the last 15 years. He received the Ryogo Kubo Memorial Prize for his contributions to the development of loop/cluster algorithms in 2002. Philipp Werner is a Professor at the University of Fribourg. In 2010, he received the IUPAP Young Scientist Prize in Computational Physics for the development and implementation of quantum Monte Carlo methods which transformed the study of interacting electrons in solids.
Content
Part I. Monte Carlo Basics: 1. Introduction; 2. Monte Carlo basics; 3. Data analysis; 4. Monte Carlo for classical many-body problems; 5. Quantum Monte Carlo primer; Part II. Finite Temperature: 6. Finite-temperature quantum spin algorithms; 7. Determinant method; 8. Continuous-time impurity solvers; Part III. Zero Temperature: 9. Variational Monte Carlo; 10. Power methods; 11. Fermion ground state methods; 12. Analytic continuation; 13. Parallelization.
