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.
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Bikas K. Chakrabarti of Saha Institute of Nuclear Physics, Kolkata, India is a Professor of Theoretical Condensed Matter Physics at the Saha Institute of Nuclear Physics and a Visiting Professor of Economics at the Indian Statistical Institute. He has research interests in statistical physics, condensed matter physics, computational physics, and econophysics. He is a Shanti Swarup Bhatnagar awardee and a fellow of the Indian National Science Academy and Indian Academy of Sciences, and he has received the Outstanding Referee award of the American Physical Society. He has coauthored books published by Cambridge University Press, Oxford University Press, Springer, Wiley, etc. Arnab Chatterjee is a Research Scientist at the TCS Innovation Lab., New Delhi, India. He received his PhD from Jadavpur University in 2008. He has held postdoctoral positions at the International Centre for Theoretical Physics (Trieste, Italy), Centre de Physique Théorique (Marseille, France), Institute for Scientific Interchange (Turin, Italy), and Aalto University (Espoo, Finland). He was also a Visiting Scientist at the Saha Institute of Nuclear Physics, Kolkata, India. He has coauthored two books, published by Cambridge University Press and Wiley. He has extensive research experience in statistical physics and complex systems, complex networks, and socioeconomic systems in general. Asim Ghosh has been a post-doctoral fellow at the Aalto University, Espoo, Finland, working on Sociophysics and Econophysics. His permanent address is Department of Physics, Raghunathpur College, Purulia 723133, India. He obtained his PhD in 2014 from Calcutta University and has extensive research experience in statistical physics of markets and society, and in particular on the Kolkata Restaurant Problem and the Minority Game using classical tricks. Sudip Mukherjee of Barasat Government College, Barasat, India holds a Masters degree in Physics from the University of Calcutta. He is a research fellow at Saha Institute of Nuclear Physics, Kolkata and works on quantum spin glasses. Boaz Tamir of the Faculty of Interdisciplinary Studies, Bar-Ilan University, Ramat Gan, Israel, holds a PhD from the Department of Mathematics of the Weizmann Institute of Science for his work on representation of unitary algebraic groups over p-adic fields and a PhD from Bar-Ilan University for his work on quantum simulation and quantum computation. During the last few years he has published several papers on representations of groups, quantum algorithms, quantum information, bio-information, and philosophy of science. He is currently working on algorithmic methods for community detection in social networks.
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.
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