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.
Quantum semantic communications for resource-efficient quantum networking
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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.