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December 9th, 2007
How far will quantum computing help in the field of artificial intelligence (AI)?
The synergy between AI techniques such as soft computing and the emerging areas of quantum and nano computing is imminent while envisioning a holistic view of computing. It is imperative that nanotechnology-based quantum computing would revolutionise computing. Problems that appear intractable at present would be cracked in a matter of seconds.
The performance of quantum algorithms has proved to be stunning. Artificial neural networks within the context of soft computing have been used for approximation and classification tasks. Quantum neural networks synergise the unique properties of qubits with the various techniques in vogue in neural networks. The improvement in performance over conventional computing problems via this approach is tremendous.
Quantum neurons have been used for disaster prevention by adopting a hybrid network centric approach with real-time data inputs from several stations to predict the magnitude of disaster at other places. The December 2004 Indian Ocean Tsunami data have been used to verify the algorithm. This approach can be used for advanced warning for other natural disasters such as earthquake prediction, volcanic eruptions, aftershock analysis, etc.
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