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Description
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.
Product details
- Type:
- Book
- Binding:
- Paperback
- Languages:
-
Original:
English
- Number of Pages:
-
192
- Publisher:
-
Springer
- Publication Date:
-
2024-11-25
- ISBN / EAN:
-
9783031379680
- Weight:
-
300 g
- Dimensions:
-
16/24/1 cm
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