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.
Paper
Full text
Asymptotic compression rate of quantum autoencoders
Semantic Scholar · Physics · 2024
Abstract
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.