simple implementation of circuit-centeric quantum classifier using qiskit

plot_2_layers_quantum_classifier.py

from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister 
from qiskit import *
import numpy as np

qc = QuantumCircuit(3,1)
weights = np.random.rand(18)                                        
# First layer
qc.u3(weights[0],weights[1],weights[2],0)                               
qc.u3(weights[3],weights[4],weights[5],1)                               
qc.u3(weights[6],weights[7],weights[8],2)
qc.cnot(0,1)                                                            
qc.cnot(1,2)                                                           
qc.cnot(2,0)
# Second Layer
qc.u3(weights[9],weights[10],weights[11],0)                            
qc.u3(weights[15],weights[16],weights[17],1)
qc.u3(weights[12],weights[13],weights[14],2)
qc.cnot(0,1)
qc.cnot(1,2)
qc.cnot(2,0)
# Z measurement
qc.measure(0,0)
# Drawing
qc.draw(output='mpl')