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Quantum computing = circuits, systems, automation and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantum computing/ edited by Himanshu Thapliyal, Travis Humble.
其他題名:	circuits, systems, automation and applications /
其他作者:	Thapliyal, Himanshu.
出版者:	Cham :Springer International Publishing : : 2024.,
面頁冊數:	ix, 182 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Quantum computing. -
電子資源:	https://doi.org/10.1007/978-3-031-37966-6
ISBN:	9783031379666

Quantum computing = circuits, systems, automation and applications /
Quantum computingcircuits, systems, automation and applications /[electronic resource] :edited by Himanshu Thapliyal, Travis Humble. - Cham :Springer International Publishing :2024. - ix, 182 p. :ill., digital ;24 cm.

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.

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, 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.

ISBN: 9783031379666

Standard No.: 10.1007/978-3-031-37966-6doiSubjects--Topical Terms:

2115803
Quantum computing.

LC Class. No.: QA76.889

Dewey Class. No.: 006.3843

Quantum computing = circuits, systems, automation and applications /
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505 0 $a 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.
520 $a 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, 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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