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Introduction to quantum computing = from a layperson to a programmer in 30 steps /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to quantum computing/ by Hiu Yung Wong.
其他題名:	from a layperson to a programmer in 30 steps /
作者:	Wong, Hiu Yung.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xv, 300 p. :ill. (some col.), digital ;24 cm.
內容註:	The 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.
Contained By:	Springer Nature eBook
標題:	Quantum computing. -
電子資源:	https://doi.org/10.1007/978-3-030-98339-0
ISBN:	9783030983390

Introduction to quantum computing = from a layperson to a programmer in 30 steps /
Wong, Hiu Yung.

Introduction to quantum computingfrom a layperson to a programmer in 30 steps /[electronic resource] :by Hiu Yung Wong. - Cham :Springer International Publishing :2022. - xv, 300 p. :ill. (some col.), digital ;24 cm.

The 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.

This 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.

ISBN: 9783030983390

Standard No.: 10.1007/978-3-030-98339-0doiSubjects--Topical Terms:

2115803
Quantum computing.

LC Class. No.: QA76.889 / .W65 2022

Dewey Class. No.: 006.3843

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520 $a This 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.
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