SEMINAR ON QUNTUM COMPUTING : Imagine a computer whose memory is exponentially larger than its apparent physical size computer that can manipulate an exponential set of inputs simultaneously; computer, which calculates the dark area of the Hilbert space. One would have thought quantum computer. Concepts relatively few and simple quantum mechanics needed to make quantum computers a possibility. The subtlety was learning to manipulate these concepts. Is it a fatality of a team or be very difficult build?
The topic of quantum computing brings together ideas from classical information theory, computer science and quantum physics. This review aims to summarize not only quantum computing, but the whole subject of quantum information theory. It turns out quantum mechanics and information theory very well together. To explain their relationship, the examination begins with an introduction to classical information theory and information technology, such as the Shannon theorem, the error will be corrected codes, Turing machines and computational complexity. The principles of quantum mechanics is then described, and described the EPR experiment. Bell-EPR and quantum correlations entanglement in general, the essential element that distinguishes the new quantum Traditional knowledge of the theory, and probably, quantum physics classic. Basic the ideas of quantum information are described, including key distribution, teleportation, data compression, quantum error correction, quantum computers and quantum universal algorithms. The common theme of all these ideas is the use of quantum entanglement as a computational resources. Experimental methods for small quantum processors are briefly outlined, with particular emphasis on ion traps, high Q cavities, and NMR. The review will be By outlining the main features of quantum physics, information and media for
future research.

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