According to the proof in this paper, only a minimal amount of data is needed to train a quantum neural network. This shatters previous assumptions that relied on the massive appetite of classical computing for data in machine learning or artificial intelligence. Although many believe that quantum machine learning necessitates a large volume of data, this paper rigorously proves that this is not the case for numerous pertinent problems. I will delve into the influence of the volume of training data on the deployment of quantum artificial intelligence, review related research trends, and present the research I'm currently undertaking.

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