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Quantum Computing: From Linear Algebra to Physical RealizationsBy Mikio Nakahara, Tetsuo Ohmi
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Covering both theory and progressive experiments, Quantum Computing: From Linear Algebra to Physical Realizations explains how and why superposition and entanglement provide the enormous computational power in quantum computing. This self-contained, classroom-tested book is divided into two sections, with the first devoted to the theoretical aspects of quantum computing and the second focused on several candidates of a working quantum computer, evaluating them according to the DiVincenzo criteria.
Topics in Part I
- Linear algebra
- Principles of quantum mechanics
- Qubit and the first application of quantum information processing―quantum key distribution
- Quantum gates
- Simple yet elucidating examples of quantum algorithms
- Quantum circuits that implement integral transforms
- Practical quantum algorithms, including Grover’s database search algorithm and Shor’s factorization algorithm
- The disturbing issue of decoherence
- Important examples of quantum error-correcting codes (QECC)
Topics in Part II
- DiVincenzo criteria, which are the standards a physical system must satisfy to be a candidate as a working quantum computer
- Liquid state NMR, one of the well-understood physical systems
- Ionic and atomic qubits
- Several types of Josephson junction qubits
- The quantum dots realization of qubits
Looking at the ways in which quantum computing can become reality, this book delves into enough theoretical background and experimental research to support a thorough understanding of this promising field.
- Sales Rank: #1998432 in Books
- Brand: Brand: CRC Press
- Published on: 2008-03-11
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x 1.08" w x 6.24" l, 1.66 pounds
- Binding: Hardcover
- 440 pages
- Used Book in Good Condition
Review
The book is very well structured and offers good theoretical explanations reinforced by examples. As the authors mention in the Preface, the book can be used for a quantum computing course. It is also recommended to advanced undergraduate students, postgraduate students and researchers in physics, mathematics and computer science.
―Zentralblatt MATH 1185
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