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    Quantum Random Number Generation: Theory and Practice

    Quantum Random Number Generation by Kollmitzer, Christian; Schauer, Stefan; Rass, Stefan;

    Theory and Practice

    Series: Quantum Science and Technology;

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      • Publisher's listprice EUR 149.79
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        63 540 Ft (60 515 Ft + 5% VAT)
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    63 540 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1st ed. 2020
    • Publisher Springer
    • Date of Publication 27 February 2020
    • Number of Volumes 1 pieces, Book

    • ISBN 9783319725949
    • Binding Hardback
    • No. of pages120 pages
    • Size 235x155 mm
    • Weight 454 g
    • Language English
    • Illustrations 16 Illustrations, black & white; 33 Illustrations, color
    • 99

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    Short description:

    This book provides an overview of state-of-the-art implementations of quantum random number generators (QRNGs), and especially examines their relation to classical statistical randomness models and numerical techniques for computing random numbers. The reader ? who ideally has a background in classical statistics, computer science, or cryptography ? is introduced to the world of quantum bits step by step, and explicit relations between QRNGs and their classical counterparts are identified along the way.


    Random number generation is a major pillar of cryptography. Capitalizing on the randomness inherent in quantum phenomena is a rapidly evolving branch of quantum cryptography with countless applications for the future. The value of quantum randomness for cryptographic purposes is empirically demonstrated in statistical evaluations of QRNGs? performance compared to classical techniques for true and pseudorandom number generation. The book then provides an overview of technical implementations of QRNGs, before a concluding discussion of major achievements and remaining obstacles in the field rounds out the coverage, while also opening the door for future research directions.



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    Long description:

    This book provides an overview of state-of-the-art implementations of quantum random number generators (QRNGs), and especially examines their relation to classical statistical randomness models and numerical techniques for computing random numbers. The reader ? who ideally has a background in classical statistics, computer science, or cryptography ? is introduced to the world of quantum bits step by step, and explicit relations between QRNGs and their classical counterparts are identified along the way.


    Random number generation is a major pillar of cryptography. Capitalizing on the randomness inherent in quantum phenomena is a rapidly evolving branch of quantum cryptography with countless applications for the future. The value of quantum randomness for cryptographic purposes is empirically demonstrated in statistical evaluations of QRNGs? performance compared to classical techniques for true and pseudorandom number generation. The book then provides an overview of technical implementations of QRNGs, before a concluding discussion of major achievements and remaining obstacles in the field rounds out the coverage, while also opening the door for future research directions.



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    Table of Contents:

    What is Randomness?.- Classical Sources of Randomness.- Pseudo-Randomness.- Physical Randomness.- Tests and Certification of Randomness.- Quantum Randomness.- Implementations of QNRGs.- Comparison of QNRGs.- Post-Processing for QNRGs.- Other Post-Processing Methods.

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