Figure 3
From: Recurrent quantum embedding neural network and its application in vulnerability detection
RQENN classifier. The model is built by iteratively applying the same RQENN cell to the input code token sequence. Measurements are performed on the last two qubits separately to obtain the expectation values as classification logits.
