A quantum autoencoder functions as a type of quantum artificial neural network designed to compress sequences of quantum states through a training process. In this work, we analyze the compression performance of quantum autoencoders and obtain an asymptotic upper bound on the encoder's compression rate.
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Alexei Kaltchenko (2024) studied this question.
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