Experimental aspects of quantum computing by Henry O. Everitt

By Henry O. Everitt

Useful quantum computing nonetheless turns out greater than a decade away, and researchers haven't even pointed out what the easiest actual implementation of a quantum bit could be. there's a actual desire within the clinical literature for a discussion concerning classes discovered and looming roadblocks. This reprint from Quantum info Processing is devoted to the experimental features of quantum computing and contains articles that 1) spotlight the teachings realized during the last 10 years, and a pair of) define the demanding situations over the following 10 years. The specific factor encompasses a sequence of invited articles that debate the main promising actual implementations of quantum computing. The invited articles have been to attract grand conclusions in regards to the earlier and speculate in regards to the destiny, not only file effects from the current.

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By Henry O. Everitt

Useful quantum computing nonetheless turns out greater than a decade away, and researchers haven't even pointed out what the easiest actual implementation of a quantum bit could be. there's a actual desire within the clinical literature for a discussion concerning classes discovered and looming roadblocks. This reprint from Quantum info Processing is devoted to the experimental features of quantum computing and contains articles that 1) spotlight the teachings realized during the last 10 years, and a pair of) define the demanding situations over the following 10 years. The specific factor encompasses a sequence of invited articles that debate the main promising actual implementations of quantum computing. The invited articles have been to attract grand conclusions in regards to the earlier and speculate in regards to the destiny, not only file effects from the current.

Show description

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Proceedings of the AAAI Workshop on Knowledge Discovery in Databases, pp. 181 - 192, Seattle, USA, 1994. G. Raschia and N. Mouaddib. SAINTETIQ: a fuzzy set-based approach to data­ base summarization. Fuzzy Sets and Systems, 129, 137 - 162, 2002. D. R. Yager. Fuzzy query language for hypothesis evalua­ tion. , H. Christiansen and H. L. ): Flexible Query Answering Systems, pp. 23 - 43, Kluwer, Boston, 1997. D. R. Yager. edu ^^^ Dept. of Computer Science, Meiji University. ^^^National Institute of Informatics Abstract: Retrieving relevant information is a crucial component of cased-based reasoning systems for Internet applications such as search engines.

Prade. Beyond min aggregation in multicriteria decision: (ordered) weighted min, discri-min,leximin. R. Yager and J. ): The Ordered Weighted Averaging Operators. Theory and Ap­ plications, pp. 181 - 192, Kluwer, Boston, 1997. 6. D. Dubois and H. Prade. Gradual rules in approximate reasoning. Information Sciences, 61, 103 - 122, 1992. 7. D. Dubois and H. Prade. Fuzzy sets in approximate reasoning. Part 1: Inference with possibility distributions. Fuzzy Sets and Systems, 40, 143 - 202, 1991. 8. P.

In their approach, the fitting function is a combination of a wide array of indices: a degree of imprecision (fuzziness), a degree of covering, a degree of appropri­ ateness, a length of a summary, etc. (cf. also Kacprzyk and Yager [16]). Rasmussen and Yager [34, 35] propose an extension, SummarySQL, to SQL to cover linguistic summaries. Actually, they do not address the mining linguistic summaries but merely their verification. The SummarySQL may also be used to verify a kind of fuzzy gradual rules (cf.

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