Unverified50% confidenceFactExact time
The paper proposes the Quantum Hamiltonian Embeddings framework, which encodes a classical training dataset into a parameterized effective Hamiltonian and defines classification rules via the approximate ground state obtained by optimizing the parameters.
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10/20/2026
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