Quantum maximum likelihood prediction on covariance embeddings reduces to classical eigenvalue-space KL projection under unitary/pinching symmetry, with non-asymptotic trace-norm and relative-entropy rates that scale with Hilbert-space dimension rather than alphabet size.
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Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings
Quantum maximum likelihood prediction on covariance embeddings reduces to classical eigenvalue-space KL projection under unitary/pinching symmetry, with non-asymptotic trace-norm and relative-entropy rates that scale with Hilbert-space dimension rather than alphabet size.