000 a
999 _c33063
_d33063
008 240805b xxu||||| |||| 00| 0 eng d
020 _a9783030993788
082 _a006.3843
_bWOJ
100 _aWojcieszyn, Filip
245 _aIntroduction to quantum computing with Q# and QDK
260 _bSpringer,
_c2022
_aCham :
300 _axvi, 279 p. ;
_bill., (some col.),
_c25 cm
365 _b59.99
_c
_d93.90
490 _aQuantum science and technology
504 _aIncludes bibliographical references and index.
520 _aThis book introduces the fundamentals of the theory of quantum computing, illustrated with code samples written in Q#, a quantum-specific programming language, and its related Quantum Development Kit. Quantum computing (QC) is a multidisciplinary field that sits at the intersection of quantum physics, quantum information theory, computer science, and mathematics, and which may revolutionize the world of computing and software engineering. The book begins by covering historical aspects of quantum theory and quantum computing, as well as offers a gentle, algebra-based, introduction to quantum mechanics, specifically focusing on concepts essential for the field of quantum programming. Quantum state description, state evolution, quantum measurement, and Bell’s theorem are among the topics covered. The readers also get a tour of the features of Q# and familiarize themselves with the QDK. Next, the core QC topics are discussed, complete with the necessary mathematical formalism. This includes the notions of qubits, quantum gates, and quantum circuits. In addition to that, the book provides a detailed treatment of a series of important concepts from quantum information theory, in particular entanglement and the no-cloning theorem, followed by discussion about quantum key distribution and its various protocols. Finally, the canon of most important QC algorithms and algorithmic techniques is covered in-depth - from the Deutsch-Jozsa algorithm, through Grover’s search, to Quantum Fourier Transform, quantum phase estimation, and Shor’s algorithm. The book is an accessible introduction to the vibrant and fascinating field of quantum computing, offering a blend of academic diligence with the pragmatism that is so central to the software development world. All of the discussed theoretical aspects of QC are accompanied by runnable code examples, providing the reader with two different angles - mathematical and programmatic - of looking at the same problem space.
650 _aQuantum computing
650 _aAzure Quantum
650 _aBeam splitter
650 _aBorn rule
650 _aCHSH inequality
650 _aEigenstate
650 _aProbability amplitudes
650 _aQuantum key distribution
650 _aSuperdense coding
650 _aUnitary transformation;
650 _aZ-basis
942 _2ddc
_cBK