The paper claims a quantum graph Hamiltonian neural network learns graphs with 99.8% cosine similarity, but the circuit decomposition is invalid and the evaluation is circular.
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QGHNN: A quantum graph Hamiltonian neural network
The paper claims a quantum graph Hamiltonian neural network learns graphs with 99.8% cosine similarity, but the circuit decomposition is invalid and the evaluation is circular.