Examples

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Examples#

Using QLauncher is simple.
Simply specify the problem, algorithm and backend you want to use, and QLauncher will take care of the rest.
Here are some examples to get you started.
(These examples are also available in the examples directory of the repository.)

Qiskit#

from qlauncher import *
from qlauncher.routines.qiskit import QiskitBackend, QAOA

pr = problems.JSSP(3, 'exact', instance_name='default', optimization_problem=True)
alg = QAOA()
backend = QiskitBackend('local_simulator')

launcher = QLauncher(pr, alg, backend)

result = launcher.run()
print(result)

Dwave#

from qlauncher import *
from qlauncher.routines.dwave import SimulatedAnnealingBackend, DwaveSolver

problem = problems.MaxCut(instance_name='default')
alg = DwaveSolver(1)
backend = SimulatedAnnealingBackend('local')

launcher = QLauncher(problem, alg, backend)

result = launcher.run()
print(result)

Orca#

from qlauncher import *
from qlauncher.routines.orca import OrcaBackend, BBS

problem = problems.MaxCut(instance_name='default')
alg = BBS()
backend = OrcaBackend('local')

launcher = QLauncher(problem, alg, backend)

result = launcher.run()
print(result)
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