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)
# 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,
rabi_amps,
qubits,
fit_p0=[0.5, 0.5, 0.6, 1.5])
plt.figure(figsize=(15, 10))
q_offset = 0
multiplier = 0.5
for qubit in qubits:
ax = plt.subplot(2, 2, qubit + 1)
#Xvmin, Xvmax = ax.xaxis.get_data_interval()
#Yvmin, Yvmax = ax.yaxis.get_data_interval()
#print(Xvmin, Xvmax,Yvmin, Yvmax)
Xvmin = multiplier * np.floor(0.1 / multiplier)