In this paper, we present results on the first NLP experiments conducted on Noisy Intermediate-Scale Quantum computers for datasets of size ≥ 100 sentences. We use representations for sentences that have a natural mapping to quantum circuits to implement and successfully train two NLP models that solve simple sentence classification tasks on quantum hardware.

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