Quantum Computational intelligence: Answers and Questions", IEEE Intelligent System, Twenty-two points, plus triple-word-score, plus fifty points for using all my letters. Game's over. I'm outta here

In 1994 the discovery by Peter Shor of an algorithm for factoring large numbers in polynomial time using a quantum computer1 transformed the field of quantum computation from a theoretical curiosity to a potential technology of national interest. The appeal of a computational paradigm with a potentially exponential increase in capacity over classical approaches dramatically increased interest and research in the field. Interestingly, however, discoveries of other useful quantum algorithms have come few and far between. The ramifications of a quantum factoring algorithm on cryptography not withstanding, it is beginning to appear as if quantum computation is an answer looking for a question. The field of computational intelligence, including the sub-fields of machine learning, neural networks, computational learning theory, evolutionary computation and symbolic artificial intelligence, seeks to produce algorithms for solving problems that are intractable or have no closed form solution or are in some other way unsuitable for traditional computational methods. Many successful applications of such techniques exist; however, due to the nature of the problems to which these technologies are applied, such successes are more often the exception rather than the rule. In other words, we might say that computational intelligence is a question looking for an answer. Perhaps the two fields can be combined to the advantage of both. Computational intelligenc