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The TensorFlow Quantum (TFQ) library provides primitives for developing models that disentangle and generalise correlations in quantum data, making it possible for for the development of present quantum algorithms in addition to the discovery of new quantum algorithms. Furthermore, not like classical computers, wherever a set input little bit is sent to some logic gate module for many arithmetic operation along with a corresponding fixed little bit is acquired as output, quantum computers use quantum logic gates where the enter can be a superposition bit and the output is also an entangled superposition bit.