Table of contents

  1. Front Matter
  2. Bikas K. Chakrabarti, Arnab Das
    Pages 1-36
  3. Naomichi Hatano, Masuo Suzuki
    Pages 37-68
  4. Heiko Rieger
    Pages 69-99
  5. Gabriel Aeppli, Thomas F. Rosenbaum
    Pages 157-169
  6. Demian Battaglia, Lorenzo Stella, Osvaldo Zagordi, Giuseppe E. Santoro, Erio Tosatti
    Pages 171-206
  7. Sei Suzuki, Masato Okada
    Pages 207-238
  8. Parongama Sen, Pratap K. Das
    Pages 325-337
  9. Victor Martín-Mayor
    Pages 339-372
  10. Back Matter

About this book


Quantum annealing employs quantum fluctuations in frustrated systems or networks to anneal the system down to its ground state, or more generally to its so-called minimum cost state. Often this procedure turns out to be more effective, in multivariable optimization problems, than its classical counterpart utilizing tunable thermal fluctuations. This volume is divided into three parts. Part I is an extensive tutorial introduction familiarizing the reader with the background material necessary to follow the core of the book. Part II gives a comprehensive account of the fundamentals and applications of the quantum annealing method, and Part III compares quantum annealing with other related optimization methods. This is the first book entirely devoted to quantum annealing and will be both an invaluable primer and guidebook for all advanced students and researchers in this important field.


combinatorial optimization optimization quantum annealing quantum phase transition spin glass

Bibliographic information

Industry Sectors
IT & Software