Publisher's Synopsis
Quantum Monte Carlo is a group of computational methods used in the study of complex quantum systems. Their purpose is to provide a reliable solution, or an accurate approximation, of the quantum many-body problem. The many methods of quantum Monte Carlo approaches all share the common use of the Monte Carlo method to deal with the multi-dimensional integrals that arise in the different formulations of the many-body problem.
This book isn't merely a compendium of methods-it's a voyage of understanding. The book empowers readers to decipher the inner workings of Quantum Monte Carlo. It doesn't stop at equipping you with theories; it arms you with practical insights through sample codes, enabling you to deconstruct, analyze, and enhance existing algorithms. Ultimately, it showcases that Quantum Monte Carlo isn't just a numerical tool-it's an expedition that reveals the hidden facets of the quantum world.
Key Features:
- Accompanying code and worked examples of how an algorithm can be coded and tested
- What makes Quantum Monte Carlo superior and just as importantly, what breaks it
- Teaches statistical physics and quantum physics in parallel
- Includes detailed mathematical derivations that won't leave blind spots
- Emphasises Quantum Monte Carlo as a tool of visualizing quantum mechanics
