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003 | TR-AnTOB | ||
005 | 20231120162238.0 | ||
007 | cr nn 008mamaa | ||
008 | 220524s2022 sz | s |||| 0|eng d | ||
020 | _a9783030983390 | ||
024 | 7 |
_a10.1007/978-3-030-98339-0 _2doi |
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040 |
_aTR-AnTOB _beng _erda _cTR-AnTOB |
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041 | _aeng | ||
050 | 4 | _aQA76.889 | |
072 | 7 |
_aUKM _2bicssc |
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072 | 7 |
_aTEC008010 _2bisacsh |
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072 | 7 |
_aUKM _2thema |
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090 | _aQA76.889EBK | ||
100 | 1 |
_aWong, Hiu Yung. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aIntroduction to Quantum Computing _h[electronic resource] : _bFrom a Layperson to a Programmer in 30 Steps / _cby Hiu Yung Wong. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
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300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aThe Most Important Step to Understand Quantum Computing -- First Impression -- Basis, Basis Vectors, and Inner Product -- Orthonormal Basis, Bra-Ket Notation, and Measurement -- Changing Basis, Uncertainty Principle, and Bra-ket Operations -- Observables, Operators, Eigenvectors, and Eigenvalues -- Pauli Spin Matrices, Adjoint Matrix, and Hermitian Matrix -- Operator Rules, Real Eigenvalues, and Projection Operator -- Eigenvalue and Matrix Diagonalization; Unitary Matrix -- Unitary Transformation, Completeness, and Construction of Operator -- Hilbert Space, Tensor Product, and Multi-Qubit -- Tensor Product of Operators, Partial Measurement, and Matrix Representation in a Given Basis -- Quantum Register and Data Processing, Entanglement and the Bell States -- Concepts Review, Density Matrix, and Entanglement Entropy -- Quantum Gate Introduction; NOT and C-NOT Gates -- SWAP, Phase Shift and CC-NOT (Toffoli) Gates -- Walsh-Hadamard Gate and its Properties -- 13 more chapters. | |
520 | _aThis textbook introduces quantum computing to readers who do not have much background in linear algebra. The author targets undergraduate and master students, as well as non-CS and non-EE students who are willing to spend about 60 -90 hours seriously learning quantum computing. Readers will be able to write their program to simulate quantum computing algorithms and run on real quantum computers on IBM-Q. Moreover, unlike the books that only give superficial, “hand-waving” explanations, this book uses exact formalism so readers can continue to pursue more advanced topics based on what they learn from this book. Encourages students to embrace uncertainty over the daily classical experience, when encountering quantum phenomena; Uses narrative to start each section with analogies that help students to grasp the critical concept quickly; Uses numerical substitutions, accompanied by Python programming and IBM-Q quantum computer programming, as examples in teaching all critical concepts. | ||
650 | 0 | _aEmbedded computer systems. | |
650 | 0 | _aComputer programming. | |
650 | 0 | _aQuantum computers. | |
650 | 1 | 4 | _aEmbedded Systems. |
650 | 2 | 4 | _aProgramming Techniques. |
650 | 2 | 4 | _aQuantum Computing. |
653 | 0 | _aQuantum computing | |
710 | 2 | _aSpringerLink (Online service) | |
856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-030-98339-0 _3Springer eBooks _zOnline access link to the resource |
942 |
_2lcc _cEBK |