Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 052182740X ISBN 13: 9780521827409
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 109,93
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 052182740X ISBN 13: 9780521827409
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 158,33
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. This book addresses protecting information from noise and eavesdropping by covering error correction and cryptography. Translator(s): Xin, Lv. Num Pages: 304 pages, 14 tables 159 exercises. BIC Classification: UYA. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 228 x 152 x 20. Weight in Grams: 551. . 2006. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 222,87
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 304 pages. 9.50x6.00x0.50 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 052182740X ISBN 13: 9780521827409
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.