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Ans. Basically, quantum AI builds upon the Concepts of quantum computing and artificial intelligence to provide a system that is much more sturdy and productive. Information is processed by conventional computers using bits, that may be either a 0 or a one.

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The TensorFlow Quantum (TFQ) library offers primitives for developing models that disentangle and generalise correlations in quantum data, allowing for for the development of present quantum algorithms in addition to the discovery of recent quantum algorithms. Furthermore, compared with classical computers, the place a hard and fast input bit is sent to your logic gate module for many arithmetic Procedure as well as a corresponding preset little bit is obtained as output, quantum computers use quantum logic gates the place the input is usually a superposition little bit as well as the output is usually an entangled superposition little bit.

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