def test_normal_launch_mode_with_nbshots(self):
# Create a small program
prog = Program()
qubits = prog.qalloc(2)
prog.apply(H, qubits[0])
prog.apply(CNOT, qubits)
circ = prog.to_circ()
# Simulate
job = circ.to_job(nbshots=4, aggregate_data=False)
qpu = PyLinalg()
result = qpu.submit_job(job)
self.assertEqual(len(result.raw_data), 4)
self.assertEqual(result.raw_data[0].probability,
None) #no prob if not aggregating data
def test_normal_launch_mode(self):
# Create a small program
prog = Program()
qubits = prog.qalloc(2)
prog.apply(H, qubits[0])
prog.apply(CNOT, qubits)
circ = prog.to_circ()
# Simulate
job = circ.to_job()
qpu = PyLinalg()
result = qpu.submit_job(job)
self.assertEqual(len(result.raw_data), 2)
self.assertAlmostEqual(result.raw_data[0].probability, 0.5)
self.assertTrue(result.raw_data[0].state.int in [0, 3])
self.assertTrue(result.raw_data[1].state.int in [0, 3])
def test_normal_launch_mode_with_nbshots_and_qbs(self):
# Create a small program
prog = Program()
qubits = prog.qalloc(2)
prog.apply(H, qubits[0])
prog.apply(CNOT, qubits)
circ = prog.to_circ()
# Simulate
job = circ.to_job(nbshots=4, qubits=[0], aggregate_data=False)
qpu = PyLinalg()
result = qpu.submit_job(job)
self.assertEqual(len(result.raw_data), 4)
self.assertEqual(result.raw_data[0].probability,
None) #No probability if not aggregating data
for rd in result.raw_data:
self.assertTrue(rd.state.int in [0, 1], msg="state= %s" % rd.state)