000 01552 a2200181 4500
020 _a9783030832735
082 _a006.3843 HID
100 _aHidary, Jack D
245 _aQuantum Computing: An applied Approach
250 _a2
260 _bSpringer Nature
_c2021
_aCham, Switzerland
300 _a422
520 _aThis 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.
650 _aArtificial intelligence
650 _aComputers
650 _aAlgorithms
942 _cBK
_2ddc
999 _c47881
_d47881