This primer is a comprehensive collection of analytical and numerical techniques that can be used to extract the non-perturbative physics of quantum field theories. The intriguing connection between Euclidean Quantum Field Theories (QFTs) and statistical mechanics can be used to apply Markov Chain Monte Carlo (MCMC) methods to investigate strongly coupled QFTs. The overwhelming amount of reliable results coming from the field of lattice quantum chromodynamics stands out as an excellent example of MCMC methods in QFTs in action. MCMC methods have revealed the non-perturbative phase structures, symmetry breaking, and bound states of particles in QFTs. The applications also resulted in new outcomes due to cross-fertilization with research areas such as AdS/CFT correspondence in string theory and condensed matter physics.

The book is aimed at advanced undergraduate students and graduate students in physics and applied mathematics, and researchers in MCMC simulations and QFTs. At the end of this book the reader will be able to apply the techniques learned to produce more independent and novel research in the field.

A concise introduction to Monte Carlo methods and how to implement them to probe the nature of quantum field theories Includes several guidelines on how to avoid common pitfalls while applying Monte Carlo methods Numerous worked examples and accompanying computer programs help the reader to learn quickly

Autorentext
Anosh Joseph is an Assistant Professor of Physics at the Indian Institute of Science Education and Research (IISER) Mohali, India. A graduate of Indian Institute of Technology (IIT) Madras, India, he obtained his PhD at Syracuse University, USA, in 2011. Since then, he has held post-doctoral Research Associate positions at the Los Alamos National Laboratory (LANL), USA; Deutsches Elektronen-Synchrotron (DESY), Germany; Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge, UK; and the International Centre for Theoretical Sciences (ICTS) of the Tata Institute of Fundamental Research (TIFR), India. As theoretical and computational physicist his research explores ideas to solve problems in strongly coupled quantum field theories, including Quantum Chromodynamics (QCD), supersymmetric field theories, and quantum field theories with complex actions. He has explored various non-perturbative phenomena occurring in field theories, such as phase transitions, bound states of elementary particles, and symmetry breaking using analytical and numerical methods. He has published numerous peer-reviewed journal articles on lattice quantum field theory, supersymmetric field theory, complex Langevin dynamics, and non-commutative field theory.

Inhalt
Monte Carlo Method for Integration.- Monte Carlo with Importance Sampling.- Markov Chains.- Markov Chain Monte Carlo.- MCMC and Feynman Path Integrals.- Reliability of Simulations.- Hybrid (Hamiltonian) Monte Carlo.- MCMC and Quantum Field Theories on a Lattice.- Machine Learning and Quantum Field Theories.- C++ Programs.