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I would like to know if there is a easy way or native solution to retrieve the number of qubits that is required when using QAOA from qiskit_algorithms package to solve an optimization problem.

I understand that QuantumCircuit.num_qubits can do the work if I have a circuit objects. However, I am using QAOA algorithms from qiskit_algorithms and I couldn't have a circuit object to call even though I think the package construct the circuit under the hood for me.

The only way that I could know the required number of qubit for target problem right now is deliberately setting up a small number of qubit for the local simulator, and then I will get the error message qiskit.transpiler.exceptions.CircuitTooWideForTarget: 'Number of qubits (5) in QAOA is greater than maximum (1) in the coupling_map', and I know the problem require 5 qubits to solve, but I would like to know the number of qubit required before running it.

The code is shown below:

from qiskit_optimization.algorithms import MinimumEigenOptimizer
from qiskit_algorithms import QAOA
from qiskit_algorithms.optimizers import COBYLA
from qiskit_optimization.translators import from_docplex_mp
from qiskit.providers.fake_provider import GenericBackendV2

mod = from_docplex_mp(mdl) #the optimization model
backend = GenericBackendV2(num_qubits=1) #fake backend 
sampler = BackendSampler(backend=backend)
qaoa_mes = QAOA(sampler=sampler,reps=1,optimizer=COBYLA(), initial_point=[0.0, 0.0])
qaoa = MinimumEigenOptimizer(qaoa_mes)
exact_result = qaoa.solve(mod) #solve the problem
Chuck
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2 Answers2

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Qiskit algorithms class QAOA inherits from SamplingVQE. That means, you can access its parameterized QuantumCircuit using the ansatz attribute.

So, you can easily get the number of qubits as follows:

num_qubits = qaoa_mes.ansatz.num_qubits
Egretta.Thula
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After experiments, this code works for me, posting here in case anyone needs it.

mod=from_docplex_mp(mdl)
operator,offset=mod.to_ising()
qubit_needed=operator.num_qubits
print('Needs qubit',qubit_needed)
Chuck
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