Another turning down point might be the fact that, despite intensive development of quantum algorithms, the number of available quantum algorithms is still small compared to that of classical algorithms. Therefore, due to multicore processor architectures, the need for QIP may be prolonged for a period of time. Note that, on the other hand, as multicore architecture is becoming a prevailing high-performance chip design approach, improvement of computational speed can be achieved even without reducing the feature size through parallelization. Given this fact, it seems that a much broader range of scientist will need to turn to the study of QIP much sooner than is apparent at present. Therefore, the ever-increasing demands of miniaturization of electronics will eventually lead us to the point when quantum effects become important. At this point, as the individual properties of atoms and electrons start to dominate, Moore’s law will cease to be valid. Moreover, based on Moore’s law, which claims that the number of transistors that can be etched on a single chip doubles every 18 months, leading to doubling of the memory and doubling of the computational speed, it is expected that the feature size might fall below 10 nm around 2020 with the current trend. Given the novelty of these underlying QIP concepts, it is expected that this topic will be of interest to a broad range of scientists, not just those involved in QIP research. This area is currently experiencing rapid development, which can be judged from the number of published books on QIP and by the number of conferences devoted solely to QIP concepts. Quantum information processing (QIP) is an exciting research area with numerous applications, including quantum key distribution (QKD), quantum teleportation, quantum computing, quantum lithography, and quantum memories. Preface Quantum information relates to the use of quantum mechanics concepts to perform information processing and transmission of information. Because of rapid advances in the medical sciences, in particular, independent verification of diagnoses and drug dosages should be made British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Cataloging-in-Publication Data A catalog record for this book is available from the Library of Congress ISBN: 978-0-12-385491-9 For information on all Academic Press publications visit our web site at Printed and bound in Great Britain 12 13 14 15 16 10 9 8 7 6 5 4 3 2 1 No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means electronic, mechanical, photocopying, recording or otherwise without the prior written permission of the publisher Permissions may be sought directly from Elsevier’s Science & Technology Rights Department in Oxford, UK: phone (+44) (0) 1865 843830 fax (+44) (0) 1865 853333 email: Alternatively you can submit your request online by visiting the Elsevier web site at, and selecting Obtaining permission to use Elsevier material Notice No responsibility is assumed by the publisher for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions or ideas contained in the material herein. Quantum Information Processing and Quantum Error Correction An Engineering ApproachĪcademic Press is an imprint of Elsevier The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, UK 225 Wyman Street, Waltham, MA 02451, USA First edition 2012 Copyright Ó 2012 Elsevier Inc. Quantum Information Processing and Quantum Error Correction: An Engineering Approach ![]() Physical Implementations of Quantum Information Processing Introduction to Quantum Information Processingħ.5.4 Generalized Amplitude Damping ChannelĮntanglement-Assisted Quantum Error Correctionĩ.3 General Entanglement-Assisted Quantum Codesĩ.5 Operator Quantum Error Correction Codes Subsystem Codesįault-Tolerant Quantum Error Correction and Fault-Tolerant Quantum Computing
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