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The TensorFlow Quantum (TFQ) library presents primitives for developing models that disentangle and generalise correlations in quantum data, letting for the improvement of current quantum algorithms in addition to the discovery of recent quantum algorithms. Also, as opposed to classical computers, where by a fixed input bit is shipped to a logic gate module for some arithmetic operation in addition to a corresponding set bit is received as output, quantum computers use quantum logic gates where the input can be a superposition little bit and also the output is additionally an entangled superposition bit.

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