Examples

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Examples#

Using Quantum Launcher is simple.
Simply specify the problem, algorithm and backend you want to use, and Quantum Launcher 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 quantum_launcher import *
from quantum_launcher.routines.qiskit_routines import QiskitBackend, QAOA

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

launcher = QuantumLauncher(pr, alg, backend)

result = launcher.run()
print(result)

Dwave#

from quantum_launcher import *
from quantum_launcher.routines.dwave_routines import SimulatedAnnealingBackend, DwaveSolver

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

launcher = QuantumLauncher(problem, alg, backend)

result = launcher.run()
print(result)

Orca#

from quantum_launcher import *
from quantum_launcher.routines.orca_routines import OrcaBackend, BBS

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

launcher = QuantumLauncher(problem, alg, backend)

result = launcher.run()
print(result)
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