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Thapliyal , Himanshu

Humble , Travis

Quantum computing : Circuits, Systems, Automation and Applications , edited by Himanshu Thapliyal, Travis Humble

Cham : Springer

1 vol. (IX-182 p.) : ill. ; 24 cm

978-3-031-37965-9 , rel.

Bibliogr. en fin de chapitres. Index

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.

Informatique quantique

Apprentissage machine

Systèmes embarqués (informatique)

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