An integrated neural compression and Cholesky quantum encoding method achieves robust reconstruction and classification performance in noisy quantum channels while bypassing full density matrix reconstruction.
Experimental realization of a quantum autoencoder: The compression of qutrits via machine learning
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End-to-End Neural and Quantum Transcoding for Compressed Latent Representation under Channel Noise
An integrated neural compression and Cholesky quantum encoding method achieves robust reconstruction and classification performance in noisy quantum channels while bypassing full density matrix reconstruction.