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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
Most helpful customer reviews
1 of 1 people found the following review helpful.
Amazing text, not for beginners.
By Jesse A
This is a fantastic book that really explains things thoroughly and rigorously. However, the book lacks an introduction to a non math/science background.
1 of 2 people found the following review helpful.
If you're a theoretical computer scientist, look elsewhere
By Jeremy Kun
I came at this book at as a theoretical computer science graduate student, and I found it wholly lacking. The authors put you in a physics mindset and try hard to keep you there. This might be good if you care about "physical realizations" as the subtitle indicates, but they don't explain many of the key algorithms clearly (especially Grover's).
When I picked up Nielsen and Chuang, where they don't shy away from P, NP, and BPP, I felt right at home (despite the minor errors they make in discussing complexity theory). If you're already somewhat versed in computer science and looking to make the transition to quantum computing, Nielsen and Chuang is your book.
6 of 15 people found the following review helpful.
Quantum Computing: From Linear Algebra to Physical Realizations
By QC Boy
This is a wonderful textbook and reference book.
Good for self-study and instruction.
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