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 image processing and its application to edge detection: theory and experiment
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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.