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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Synthesis of Quantum Circuits vs. Synthesis of Classical Reversible Circuits
Language: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2018
ISBN 10: 3031798945 ISBN 13: 9783031798948
Condition: New.
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Synthesis of Quantum Circuits vs. Synthesis of Classical Reversible Circuits (Synthesis Lectures on Digital Circuits and Systems)
Language: English
Published by Morgan & Claypool Publishers, 2018
ISBN 10: 1681733811 ISBN 13: 9781681733814
Hardcover. Condition: New. 8vo (24.5 cm), XV, 109 pp. Publisher's laminated boards. Synopsis: At first sight, quantum computing is completely different from classical computing. Nevertheless, a link is provided by reversible computation. Whereas an arbitrary quantum circuit, acting on ?? qubits, is described by an ?? × ?? unitary matrix with ??=2??, a reversible classical circuit, acting on ?? bits, is described by a 2?? × 2?? permutation matrix. The permutation matrices are studied in group theory of finite groups (in particular the symmetric group ????); the unitary matrices are discussed in group theory of continuous groups (a.k.a. Lie groups, in particular the unitary group U(??)). Both the synthesis of a reversible logic circuit and the synthesis of a quantum logic circuit take advantage of the decomposition of a matrix: the former of a permutation matrix, the latter of a unitary matrix. In both cases the decomposition is into three matrices. In both cases the decomposition is not unique.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3031001184 ISBN 13: 9783031001185
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book includes detailed explanations of the underlying technologies and concepts used in Artificial Intelligence (AI) and Machine Learning (ML) in the context of nuclear medicine and hybrid imaging. A diverse team of authors, including pioneers in th.
