A Word2Ket-based quantum autoencoder with an attention LSTM decoder reconstructs SMILES strings, reaching 84% quantum fidelity and 60% Levenshtein similarity on the QM9 training set.
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Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding
A Word2Ket-based quantum autoencoder with an attention LSTM decoder reconstructs SMILES strings, reaching 84% quantum fidelity and 60% Levenshtein similarity on the QM9 training set.