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.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Release date: |
October 2023 |
| First published: |
2024 |
| Editors: |
Himanshu Thapliyal
• Travis Humble
|
| Dimensions: |
235 x 155mm (L x W) |
| Edition: |
1st ed. 2024 |
| ISBN-13: |
978-3-03-137965-9 |
| Categories: |
Books
|
| LSN: |
3-03-137965-9 |
| Barcode: |
9783031379659 |
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