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Quantum computing = circuits, systems, automation and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantum computing/ edited by Himanshu Thapliyal, Travis Humble.
Reminder of title:	circuits, systems, automation and applications /
other author:	Thapliyal, Himanshu.
Published:	Cham :Springer International Publishing : : 2024.,
Description:	ix, 182 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Quantum computing. -
Online resource:	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.
650 0 $a Quantum computing. $3 2115803
650 1 4 $a Electronic Circuits and Systems. $3 3538814
650 2 4 $a Quantum Information. $3 3594468
650 2 4 $a Embedded Systems. $3 3592715
650 2 4 $a Electronics Design and Verification. $3 3592716
700 1 $a Thapliyal, Himanshu. $3 3711569
700 1 $a Humble, Travis. $3 3711570
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-37966-6
950 $a Engineering (SpringerNature-11647)