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For the first time in book form, this comprehensive and systematic monograph presents the methods for the reversible synthesis of logic functions and circuits. This methodology offers designers the capability to solve major problems in system design now and in the future, such as the high rate of power consumption, and the emergence of quantum effects for highly dense ICs. The challenge addressed here is to design reliable systems that consume as little power as possible and in which the signals are processed and transmitted at very high speeds with very high signal integrity. Researchers in academia or industry and graduate students, who work in logic synthesis, computer design, computer-aided design tools, and low power VLSI circuit design, will find this book a valuable resource.
For the first time in book form, this comprehensive and systematic monograph presents the methods for the reversible synthesis of logic functions and circuits. This methodology offers designers the capability to solve major problems in system design now and in the future, such as the high rate of power consumption, and the emergence of quantum effects for highly dense ICs. The challenge addressed here is to design reliable systems that consume as little power as possible and in which the signals are processed and transmitted at very high speeds with very high signal integrity. Researchers in academia or industry and graduate students, who work in logic synthesis, computer design, computer-aided design tools, and low power VLSI circuit design, will find this book a valuable resource.
In quantum computing, and because all of the states of the quantum system can exist simultaneously, all of the paths of the quantum computations tree from the root to the leaves occur in parallel and only after measurement a single path will be observed as the whole system's composite state will collapse into that single path. From a computation perspective, each path in the tree of quantum computing is a single processing, and thus a massive computational parallelism exists with massive number of calculations performed simultaneously. Systolic devices provide inexpensive but massive calculation power, and are cost-effective, high-performance, and special-purpose systems that have wide range of implementations such as in solving several regular and compute-bound problems containing repetitive multiple operations on large arrays of data. This book presents research in the study of parallel computing.
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