The simplest OpenQAOA workflow

Simplest_oq_workflow.py

from openqaoa.problems.problem import NumberPartition
from openqaoa.devices import create_device
from openqaoa.workflows.optimizer import QAOA

# Create the problem statement
np_qubo = NumberPartition(numbers=[5,6,7,4]).get_qubo_problem()

# Set up the QAOA object and customise it
q = QAOA()

# Choose the number of layers, the parametrisation, and the mixer type
q.set_circuit_properties(p=1, param_type='standard', init_type='ramp', mixer_hamiltonian='x')

# Define the device you want to run your problem on using the create_device() function - Here we choose the local wavefunction simulator supported by OpenQAOA
qiskit_shot = create_device(location='local', name='qiskit.qasm_simulator')
q.set_device(qiskit_shot)

# backend properties
q.set_backend_properties(n_shots = 8000)

# Set the classical method used to optimiza over QAOA angles and its properties
q.set_classical_optimizer(method='cobyla', maxiter=200)

q.compile(np_qubo) 
q.optimize()