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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