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Record Nr. |
UNINA9910766891503321 |
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Titolo |
Quantum computing : circuits, systems, automation and applications / / edited by Himanshu Thapliyal, Travis Humble |
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Pubbl/distr/stampa |
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Cham : , : Springer, , [2024] |
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©2024 |
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ISBN |
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3-031-37966-7 |
9783031379666 |
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Descrizione fisica |
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1 online resource (290 pages) : illustrations |
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Disciplina |
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Soggetti |
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Electronic circuits |
Quantum computing |
Embedded computer systems |
Electronic circuit design |
Electronic Circuits and Systems |
Quantum Information |
Embedded Systems |
Electronics Design and Verification |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction to Quantum Computing -- Quantum Circuit Synthesis -- Quantum Arithmetic Circuits -- Quantum Resource Estimation -- Quantum Compiler and Programming Languages -- Validation and Testing in Quantum Computing -- Quantum Computing Security -- Applications of Quantum Computing to fields such as Quantum Chemistry, Linear Algebra, Scientific Applications, Material Science, Machine Learning, etc. -- Quantum Technologies: Superconducting, Trapped Ions, Spintronics, Cryogenic Electronics for Quantum Computing. |
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Sommario/riassunto |
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This book provides readers with the current state-of-the-art research and technology on quantum computing. The authors provide design paradigms of quantum computing. Topics covered include multi-programming mechanisms on near-term quantum computing, |
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Lagrange interpolation approach for the general parameter-shift rule, architecture-aware decomposition of quantum circuits, software for massively parallel quantum computing, machine learning in quantum annealing processors, quantum annealing for real-world machine learning applications, queuing theory models for (Fault-Tolerant) quantum circuits, machine learning for quantum circuit reliability assessment, and side-channel leakage in Suzuki stack circuits. Describes the latest progress in quantum circuits and design automation; Discusses circuits and systems targeting novel and existing applications of quantum computing; Includes resource consumption estimates for quantum computing systems and applications. |
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