result = job.result()
assert result.status == 'COMPLETED'
assert result.success is True
compare_statevector(result, circuits, targets)
# Run unitary simulator
circuits = cx_gate_circuits_deterministic(final_measure=False)
targets = cx_gate_unitary_deterministic()
job = execute(circuits,
UnitarySimulator(),
shots=1,
basis_gates=['u1', 'u2', 'u3', 'cx'])
result = job.result()
assert result.status == 'COMPLETED'
assert result.success is True
compare_unitary(result, circuits, targets)
# Run pulse simulator
system_model, schedule = model_and_pi_schedule()
backend_sim = PulseSimulator()
qobj = assemble([schedule],
backend=backend_sim,
qubit_lo_freq=[5.0],
meas_level=1,
meas_return='avg',
shots=1)
results = backend_sim.run(qobj, system_model).result()
state = results.get_statevector(0)
assertAlmostEqual(state[0], 0, delta=10**-5)
assertAlmostEqual(state[1], -1j, delta=10**-5)
pulse_width=meas_duration,
pulse_sigma=meas_sigma,
drives=meas_channels,
inst_map=inst_map,
meas_map=[[0, 1]])
rabi_experiments[10].draw()
#ground_freq_sweep_job = backend.run(ground_freq_sweep_program)
#print(ground_freq_sweep_job.job_id())
#job_monitor(ground_freq_sweep_job)
# Get the job data (average)
#ground_freq_sweep_data = get_job_data(ground_freq_sweep_job, average=True)
#To simulate the Rabi experiments, assemble the Schedule list into a qobj. When assembling, pass the PulseSimulator as the backend.#To simulate the Rabi experiments, assemble the Schedule list into a qobj. When assembling, pass the PulseSimulator as the backend.
# instantiate the pulse simulator
backend_sim = PulseSimulator()
# compute frequencies from the Hamiltonian
qubit_lo_freq = two_qubit_model.hamiltonian.get_qubit_lo_from_drift()
rabi_qobj = assemble(rabi_experiments,
backend=backend,
qubit_lo_freq=qubit_lo_freq,
meas_level=1,
meas_return='avg',
shots=256)
# run the simulation
rabi_result = backend_sim.run(rabi_qobj, two_qubit_model).result()
rabifit = RabiFitter(rabi_result,