Protecting information : from classical error correction to quantum cryptography / Susan Loepp, William K. Wootters.
Material type:
TextPublication details: Cambridge ; New York : Cambridge University Press, 2006.Description: xv, 287 p. : ill. ; 25 cmISBN: - 052182740X
- 004.1 22
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Main library General Stacks | 004.1 / LO.P 2006 (Browse shelf(Opens below)) | 1 | Available | 002560 |
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| 004.0684 / FU.I 2008 Information systems project management : | 004.0684 LU.M / 2004 Managing the information technology resource : | 004.1 / CO.D 2009 Design of cost-efficient interconnect processing units : | 004.1 / LO.P 2006 Protecting information : | 004.1 / MA.P 2005 A platform-centric approach to system-on-chip (SoC) design / | 004.1 / ST.P 2006 Problems and solutions in quantum computing and quantum information / | 004.16 / EV.T 2008 Technology in action / |
Includes bibliographical references (p. 277-284) and index.
1. Cryptography: an overview; 2. Quantum mechanics; 3. Quantum cryptography; 4. An introduction to error-correcting codes; 5. Quantum cryptography revisited; 6. Generalized Reed-Solomon codes; 7. Quantum computing; Appendi
For many everyday transmissions, it is essential to protect digital information from noise or eavesdropping. This undergraduate introduction to error correction and cryptography is unique in devoting several chapters to quantum cryptography and quantum computing, thus providing a context in which ideas from mathematics and physics meet. By covering such topics as Shor's quantum factoring algorithm, this text informs the reader about current thinking in quantum information theory and encourages an appreciation of the connections between mathematics and science. Of particular interest are the potential impacts of quantum physics: (i) a quantum computer, if built, could crack our currently used public-key cryptosystems; and (ii) quantum cryptography promises to provide an alternative to these cryptosystems, basing its security on the laws of nature rather than on computational complexity. No prior knowledge of quantum mechanics is assumed, but students should have a basic knowledge of complex numbers, vectors, and matrices.
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