from qiskit.optimization.applications import Maxcut
from qiskit.aqua.algorithms import QAOA
from qiskit import Aer

# Define a graph representing your decision problem (example: Maxcut)
graph = generate_butterfly_graph(with_weights=True)
max_cut = Maxcut(graph)
qp = max_cut.to_quadratic_program()

# QAOA parameters
p = 2  # Number of layers
optimizer = COBYLA(maxiter=100)

# QAOA setup
qaoa = QAOA(optimizer, p=p, quantum_instance=Aer.get_backend('qasm_simulator'))

# Run QAOA
result = qaoa.solve(qp)

# Analyze the result (e.g., best solution and objective value)
print(result)
