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Introduction to quantum computing : from a layperson to a programmer in 30 steps / 2nd ed

Introduction to quantum computing : from a layperson to a programmer in 30 steps / 2nd ed (1회 대출)

자료유형
단행본
개인저자
Wong, Hiu Yung.
서명 / 저자사항
Introduction to quantum computing : from a layperson to a programmer in 30 steps / Hiu Yung Wong.
판사항
2nd ed.
발행사항
Cham :   Springer,   c2024.  
형태사항
xxi, 355 p. : ill. (some col.), charts ; 24 cm.
ISBN
9783031369841
일반주기
Includes index.  
일반주제명
Quantum computing.
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001 000046177272
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008 240523s2024 sz ad 001 0 eng d
020 ▼a 9783031369841 ▼q (hardback)
020 ▼z 9783031369858 ▼q (ebook)
035 ▼a (KERIS)BIB000016937364
040 ▼a 211032 ▼b eng ▼c 211032 ▼d 211032 ▼d 211009
082 0 4 ▼a 006.3/843 ▼2 23
084 ▼a 006.3843 ▼2 DDCK
090 ▼a 006.3843 ▼b W8722i2
100 1 ▼a Wong, Hiu Yung.
245 1 0 ▼a Introduction to quantum computing : ▼b from a layperson to a programmer in 30 steps / ▼c Hiu Yung Wong.
250 ▼a 2nd ed.
260 ▼a Cham : ▼b Springer, ▼c c2024.
300 ▼a xxi, 355 p. : ▼b ill. (some col.), charts ; ▼c 24 cm.
500 ▼a Includes index.
650 0 ▼a Quantum computing.
945 ▼a ITMT

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 006.3843 W8722i2 등록번호 111897496 (1회 대출) 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

책소개

This textbook introduces quantum computing to readers who do not have much background in linear algebra based on the self-study experience of the author as an engineer. The author targets undergraduate and master students who are willing to spend about 60 -90 hours seriously learning quantum computing. This book is also suitable for self-study and teaching videos for each chapter and more than 200 exercises with answers are provided. Readers will be able to write their program to simulate quantum computing algorithms and run on real quantum computers on IBM-Q. Moreover, unlike 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



정보제공 : Aladin

목차

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.- Two Quantum Circuit Examples.- No-Cloning Theorem and Quantum Teleportation I.- Quantum Teleportation II and Entanglement Swapping.- Deutsch Algorithm.- Quantum Oracles and Construction of Quantum Gate.- Grover’s Algorithm: I.- Grover’s Algorithm: II.- Quantum Fourier Transform I.- Quantum Fourier Transform II.- Bloch Sphere and Single-Qubit Arbitrary Unitary Gate.- Quantum Phase Estimation.- Shor’s Algorithm.- The Last But Not the Least..

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