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Table of contents (7 chapters)
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Front Matter
About this book
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.
Editors and Affiliations
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Security and Communication Technologies, Center for Digital Safety and Security, AIT Austrian Institute of Technology GmbH, Klagenfurt, Austria
Christian Kollmitzer, Stefan Schauer, Benjamin Rainer
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Institute of Applied Informatics, Universität Klagenfurt, Klagenfurt, Austria
Stefan Rass
Bibliographic Information
Book Title: Quantum Random Number Generation
Book Subtitle: Theory and Practice
Editors: Christian Kollmitzer, Stefan Schauer, Stefan Rass, Benjamin Rainer
Series Title: Quantum Science and Technology
DOI: https://doi.org/10.1007/978-3-319-72596-3
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-319-72594-9Published: 27 February 2020
eBook ISBN: 978-3-319-72596-3Published: 26 February 2020
Series ISSN: 2364-9054
Series E-ISSN: 2364-9062
Edition Number: 1
Number of Pages: XXI, 120
Number of Illustrations: 16 b/w illustrations, 33 illustrations in colour
Topics: Data Structures and Information Theory, Security Science and Technology, Mathematical Applications in the Physical Sciences, Quantum Physics, Quantum Computing