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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.
The LNCS journal Transactions on Computational Science reflects
recent developments in the field of Computational Science,
conceiving the field not as a mere ancillary science but rather as
an innovative approach supporting many other scientific
disciplines. The journal focuses on original high-quality research
in the realm of computational science in parallel and distributed
environments, encompassing the facilitating theoretical foundations
and the applications of large-scale computations and massive data
processing. It addresses researchers and practitioners in areas
ranging from aerospace to biochemistry, from electronics to
geosciences, from mathematics to software architecture, presenting
verifiable computational methods, findings, and solutions and
enabling industrial users to apply techniques of leading-edge,
large-scale, high performance computational methods. This, the 24th
issue of the Transactions on Computational Science journal, guest
edited by Himanshu Thapliyal and Nagarajan Ranganathan, is devoted
to the topic of reversible computing. It is comprised of eight
selected papers on reversible energy recovery designs, design of
reversible logic gates and arithmetic circuits in optical
computing, reversible basic linear algebra subprograms, quantum
circuit description language, and reversible circuit and logic
synthesis.
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