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Parallel Computing Using Reversible Quantum Systolic Networks & Their Super-Fast Array Entanglement - Anas N. Al-Rabadi Pocket
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Utgitt:
2011
Forlag:
Nova Science Publishers Inc
Innb:
Paperback
Språk:
Engelsk
Sider:
61
Format:
14 x 22 cm
ISBN:
9781611227413

Parallel Computing Using Reversible Quantum Systolic Networks & Their Super-Fast Array Entanglement

av

Anas N. Al-Rabadi

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Vår pris: 414,- (portofritt tilsendt)
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.

Parallel Computing Using Reversible Quantum Systolic Networks & Their Super-Fast Array Entanglement

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.

Introduction; Fundamentals of Systolic Arrays; Reversible Circuits & Systems; Reversible Systolic Networks; Quantum Systolic Networks; Conclusions & Future Work; Index.

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