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 examination of the field and its applications. This is an essential resource for graduate students, teachers, and researchers.
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 examination of the field and its applications. This is an essential resource for graduate students, teachers, and researchers.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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.
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.
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