qrisp.qaoa.QAOAProblem.run#
- QAOAProblem.run(qarg, depth, mes_kwargs={}, max_iter=50, init_type='random')[source]#
Run the specific QAOA problem instance with given quantum arguments, depth of QAOA circuit, measurement keyword arguments (mes_kwargs) and maximum iterations for optimization (max_iter).
- Parameters
- qargQuantumVariable
The quantum variable to which the QAOA circuit is applied.
- depthint
The depth of the QAOA circuit.
- mes_kwargsdict, optional
The keyword arguments for the measurement function. Default is an empty dictionary.
- max_iterint, optional
The maximum number of iterations for the optimization method. Default is 50.
- init_typestring, optional
Specifies the way the initial optimization parameters are chosen. Available are
randomand TQA. The default israndom.
- Returns
- opt_resdict
The optimal result after running QAOA problem for a specific problem instance. It contains the measurement results after applying the optimal QAOA circuit to the quantum variable.