This book integrates the foundations of quantum computing with a
hands-on coding approach to this emerging field; it is the first to
bring these elements together in an updated manner. This work is
suitable for both academic coursework and corporate technical
training. The second edition includes extensive updates and
revisions, both to textual content and to the code. Sections have
been added on quantum machine learning, quantum error correction,
Dirac notation and more. This new edition benefits from the input
of the many faculty, students, corporate engineering teams, and
independent readers who have used the first edition. This volume
comprises three books under one cover: Part I outlines the
necessary foundations of quantum computing and quantum circuits.
Part II walks through the canon of quantum computing algorithms and
provides code on a range of quantum computing methods in current
use. Part III covers the mathematical toolkit required to master
quantum computing. Additional resources include a table of
operators and circuit elements and a companion GitHub site
providing code and updates. Jack D. Hidary is a research scientist
in quantum computing and in AI at Alphabet X, formerly Google X.
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