Quantum Computing : Circuits, Systems, Automation and Applications
Quantum Computing : Circuits, Systems, Automation and Applications
edited by Himanshu Thapliyal, Travis Humble
- 1st ed. 2024.
- 1 recurso en línea
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. .
9783031379666
10.1007/978-3-031-37966-6 doi
Ordenadores cuánticos
QA76.889 / 2024 EB
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. .
9783031379666
10.1007/978-3-031-37966-6 doi
Ordenadores cuánticos
QA76.889 / 2024 EB