In the paper \(\zeta\)-QVAE: A Quantum Variational Autoencoder utilizing Regularized Mixed-state Latent Representations, the authors present a framework for quantum data compression and generation, building upon the concept of variational autoencoders.

Summary

• Proposes a quantum framework for data compression and generation, complete with regularized mixed states for optimal representations.
• Accommodates a variety of data types and divergences, enhancing generalization and optimization processes.
• Demonstrates effectiveness in genomic and synthetic data representation.

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