Quantum Monte Carlo Methods - Algorithms for Lattice Models (Hardcover)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	June 2016
Authors:	James Gubernatis • Naoki Kawashima • Philipp Werner
Dimensions:	253 x 179 x 26mm (L x W x T)
Format:	Hardcover
Pages:	512
ISBN-13:	978-1-107-00642-3
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Physics > Quantum physics (quantum mechanics) > General Promotions
LSN:	1-107-00642-2
Barcode:	9781107006423

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