def test_infidelity_convergence(self):
omega = {
'omega_IR': 0,
'omega_UV': 2,
'spacing': 'linear',
'n_min': 10,
'n_max': 50,
'n_points': 4
}
def spectrum(omega):
return omega**0
simple_pulse = testutil.rand_pulse_sequence(2, 1, 1, 1)
complicated_pulse = testutil.rand_pulse_sequence(2, 100, 3, 3)
with self.assertRaises(TypeError):
n, infids = ff.infidelity(simple_pulse,
spectrum, [],
test_convergence=True)
with self.assertRaises(TypeError):
n, infids = ff.infidelity(simple_pulse, [1, 2, 3],
dict(spacing='foobar'),
test_convergence=True)
with self.assertRaises(ValueError):
n, infids = ff.infidelity(simple_pulse,
spectrum,
dict(spacing='foobar'),
test_convergence=True)
# Test with default args
n, infids = ff.infidelity(simple_pulse,
spectrum, {},
test_convergence=True)
# Test with non-default args
identifiers = rng.choice(complicated_pulse.n_oper_identifiers,
rng.randint(1, 4))
n, infids = ff.infidelity(complicated_pulse,
spectrum,
omega,
test_convergence=True,
n_oper_identifiers=identifiers)
def test_pulse_sequence_attributes_concat(self):
"""Test attributes of concatenated sequence."""
X, Y, Z = util.paulis[1:]
n_dt_1 = rng.randint(5, 11)
x_coeff_1 = rng.standard_normal(n_dt_1)
z_coeff_1 = rng.standard_normal(n_dt_1)
dt_1 = np.abs(rng.standard_normal(n_dt_1))
n_dt_2 = rng.randint(5, 11)
y_coeff_2 = rng.standard_normal(n_dt_2)
z_coeff_2 = rng.standard_normal(n_dt_2)
dt_2 = np.abs(rng.standard_normal(n_dt_2))
pulse_1 = ff.PulseSequence([[X, x_coeff_1]],
[[Z, z_coeff_1]],
dt_1)
pulse_2 = ff.PulseSequence([[Y, y_coeff_2]],
[[Z, z_coeff_2]],
dt_2)
pulse_3 = ff.PulseSequence([[Y, rng.standard_normal(2)],
[X, rng.standard_normal(2)]],
[[Z, np.abs(rng.standard_normal(2))]],
[1, 1])
# Concatenate with different noise opers
pulses = [testutil.rand_pulse_sequence(2, 1) for _ in range(2)]
pulses[0].omega = np.arange(10)
pulses[1].omega = np.arange(10)
newpulse = ff.concatenate(pulses, calc_filter_function=True)
self.assertTrue(newpulse.is_cached('filter function'))
pulse_12 = pulse_1 @ pulse_2
pulse_21 = pulse_2 @ pulse_1
with self.assertRaises(TypeError):
_ = pulse_1 @ rng.standard_normal((2, 2))
# Concatenate pulses with same operators but different labels
with self.assertRaises(ValueError):
pulse_1 @ pulse_3
# Test nbytes property
_ = pulse_1.nbytes
self.assertArrayEqual(pulse_12.dt, [*dt_1, *dt_2])
self.assertArrayEqual(pulse_21.dt, [*dt_2, *dt_1])
self.assertArrayEqual(pulse_12.c_opers, [X, Y])
self.assertArrayEqual(pulse_21.c_opers, [Y, X])
self.assertArrayEqual(pulse_12.c_oper_identifiers, ['A_0_0', 'A_0_1'])
self.assertArrayEqual(pulse_21.c_oper_identifiers, ['A_0_0', 'A_0_1'])
self.assertArrayEqual(pulse_12.c_coeffs,
[[*x_coeff_1, *np.zeros(n_dt_2)],
[*np.zeros(n_dt_1), *y_coeff_2]])
self.assertArrayEqual(pulse_21.c_coeffs,
[[*y_coeff_2, *np.zeros(n_dt_1)],
[*np.zeros(n_dt_2), *x_coeff_1]])
self.assertArrayEqual(pulse_12.n_opers, [Z])
self.assertArrayEqual(pulse_21.n_opers, [Z])
self.assertArrayEqual(pulse_12.n_oper_identifiers, ['B_0'])
self.assertArrayEqual(pulse_21.n_oper_identifiers, ['B_0'])
self.assertArrayEqual(pulse_12.n_coeffs, [[*z_coeff_1, *z_coeff_2]])
self.assertArrayEqual(pulse_21.n_coeffs, [[*z_coeff_2, *z_coeff_1]])
omega = np.linspace(-100, 100, 101)
pulses = (pulse_1, pulse_2, pulse_12, pulse_21)
for pulse in pulses:
self.assertIsNone(pulse._total_phases)
self.assertIsNone(pulse._total_propagator)
self.assertIsNone(pulse._total_propagator_liouville)
total_phases = pulse.get_total_phases(omega)
total_propagator = pulse.total_propagator
total_propagator_liouville = pulse.total_propagator_liouville
self.assertArrayEqual(total_phases, pulse._total_phases)
self.assertArrayEqual(total_propagator, pulse._total_propagator)
self.assertArrayEqual(total_propagator_liouville,
pulse._total_propagator_liouville)
# Test custom identifiers
letters = rng.choice(list(string.ascii_letters), size=(6, 5),
replace=False)
ids = [''.join(c) for c in letters[:3]]
labels = [''.join(c) for c in letters[3:]]
pulse = ff.PulseSequence(
list(zip([X, Y, Z], rng.standard_normal((3, 2)), ids, labels)),
list(zip([X, Y, Z], rng.standard_normal((3, 2)), ids, labels)),
[1, 1]
)
self.assertArrayEqual(pulse.c_oper_identifiers, sorted(ids))
self.assertArrayEqual(pulse.n_oper_identifiers, sorted(ids))
def test_extend_with_identity(self):
"""Test extending a pulse to more qubits"""
ID, X, Y, Z = util.paulis
n_dt = 10
coeffs = rng.standard_normal((3, n_dt))
ids = ['X', 'Y', 'Z']
pulse = ff.PulseSequence(
list(zip((X, Y, Z), coeffs, ids)),
list(zip((X, Y, Z), np.ones((3, n_dt)), ids)),
np.ones(n_dt), basis=ff.Basis.pauli(1)
)
omega = util.get_sample_frequencies(pulse, spacing='log', n_samples=50)
for N in rng.randint(2, 5, 4):
for target in rng.randint(0, N-1, 2):
pulse.cleanup('all')
ext_opers = util.tensor(*np.insert(np.tile(ID, (N-1, 3, 1, 1)),
target, (X, Y, Z), axis=0))
# By default, extend should add the target qubit as suffix to
# identifiers
ext_ids = [i + f'_{target}' for i in ids]
ext_pulse = ff.PulseSequence(
list(zip(ext_opers, coeffs, ext_ids)),
list(zip(ext_opers, np.ones((3, n_dt)), ext_ids)),
np.ones(n_dt), basis=ff.Basis.pauli(N)
)
# Use custom mapping for identifiers and or labels
letters = rng.choice(list(string.ascii_letters), size=(3, 5))
mapped_ids = np.array([''.join(l) for l in letters])
mapping = {i: new_id for i, new_id in zip(ids, mapped_ids)}
ext_pulse_mapped_identifiers = ff.PulseSequence(
list(zip(ext_opers, coeffs, mapped_ids, ext_ids)),
list(zip(ext_opers, np.ones((3, n_dt)), mapped_ids,
ext_ids)),
np.ones(n_dt), basis=ff.Basis.pauli(N)
)
ext_pulse_mapped_labels = ff.PulseSequence(
list(zip(ext_opers, coeffs, ext_ids, mapped_ids)),
list(zip(ext_opers, np.ones((3, n_dt)), ext_ids,
mapped_ids)),
np.ones(n_dt), basis=ff.Basis.pauli(N)
)
ext_pulse_mapped_identifiers_labels = ff.PulseSequence(
list(zip(ext_opers, coeffs, mapped_ids)),
list(zip(ext_opers, np.ones((3, n_dt)), mapped_ids)),
np.ones(n_dt), basis=ff.Basis.pauli(N)
)
calc_filter_functionF = rng.randint(0, 2)
if calc_filter_functionF:
# Expect things to be cached in extended pulse if original
# also was cached
pulse.cache_filter_function(omega)
ext_pulse.cache_filter_function(omega)
test_ext_pulse = ff.extend([(pulse, target)], N, d_per_qubit=2)
test_ext_pulse_mapped_identifiers = ff.extend(
[(pulse, target, mapping)], N, d_per_qubit=2
)
test_ext_pulse_mapped_labels = ff.extend(
[(pulse, target, None, mapping)], N, d_per_qubit=2
)
test_ext_pulse_mapped_identifiers_labels = ff.extend(
[(pulse, target, mapping, mapping)], N, d_per_qubit=2
)
self.assertEqual(ext_pulse, test_ext_pulse)
self.assertEqual(ext_pulse_mapped_identifiers,
test_ext_pulse_mapped_identifiers)
self.assertEqual(ext_pulse_mapped_labels,
test_ext_pulse_mapped_labels)
self.assertEqual(ext_pulse_mapped_identifiers_labels,
test_ext_pulse_mapped_identifiers_labels)
if calc_filter_functionF:
self.assertCorrectDiagonalization(test_ext_pulse,
atol=1e-14)
self.assertArrayAlmostEqual(test_ext_pulse._propagators,
ext_pulse._propagators, atol=1e-14)
self.assertArrayAlmostEqual(
test_ext_pulse._total_propagator_liouville,
ext_pulse._total_propagator_liouville,
atol=1e-14
)
self.assertArrayAlmostEqual(
test_ext_pulse._total_propagator,
ext_pulse._total_propagator,
atol=1e-14
)
self.assertArrayAlmostEqual(test_ext_pulse._total_phases,
ext_pulse._total_phases)
self.assertArrayAlmostEqual(test_ext_pulse._control_matrix,
ext_pulse._control_matrix, atol=1e-12)
self.assertArrayAlmostEqual(
test_ext_pulse._filter_function,
ext_pulse._filter_function,
atol=1e-12
)
else:
self.assertIsNone(test_ext_pulse._eigvals)
self.assertIsNone(test_ext_pulse._eigvecs)
self.assertIsNone(test_ext_pulse._propagators)
self.assertIsNone(
test_ext_pulse._total_propagator_liouville)
self.assertIsNone(test_ext_pulse._total_propagator)
self.assertIsNone(test_ext_pulse._total_phases)
self.assertIsNone(test_ext_pulse._control_matrix)
self.assertIsNone(test_ext_pulse._filter_function)
pulse.cleanup('all')
ext_pulse.cleanup('all')
def test_pulse_sequence_attributes_concat(self):
"""Test attributes of concatenated sequence."""
X, Y, Z = util.paulis[1:]
n_dt_1 = rng.integers(5, 11)
x_coeff_1 = rng.standard_normal(n_dt_1)
z_coeff_1 = rng.standard_normal(n_dt_1)
dt_1 = np.abs(rng.standard_normal(n_dt_1))
n_dt_2 = rng.integers(5, 11)
y_coeff_2 = rng.standard_normal(n_dt_2)
z_coeff_2 = rng.standard_normal(n_dt_2)
dt_2 = np.abs(rng.standard_normal(n_dt_2))
pulse_1 = ff.PulseSequence([[X, x_coeff_1]], [[Z, z_coeff_1]], dt_1)
pulse_2 = ff.PulseSequence([[Y, y_coeff_2]], [[Z, z_coeff_2]], dt_2)
pulse_3 = ff.PulseSequence(
[[Y, rng.standard_normal(2)], [X, rng.standard_normal(2)]],
[[Z, np.abs(rng.standard_normal(2))]], [1, 1])
pulse_4 = ff.PulseSequence(
[[Y, rng.standard_normal(2)], [X, rng.standard_normal(2)]],
[[Z, np.ones(2)]], [1, 1])
pulse_5 = ff.PulseSequence([[Y, np.zeros(5), 'A_0']],
[[Y, np.zeros(5), 'B_1']],
1 - rng.random(5))
# Concatenate with different noise opers
pulses = [testutil.rand_pulse_sequence(2, 1) for _ in range(2)]
pulses[0].omega = np.arange(10)
pulses[1].omega = np.arange(10)
newpulse = ff.concatenate(pulses, calc_filter_function=True)
self.assertTrue(newpulse.is_cached('filter function'))
with self.assertRaises(TypeError):
_ = pulse_1 @ rng.standard_normal((2, 2))
# Concatenate pulses with same operators but different labels
with self.assertRaises(ValueError):
pulse_1 @ pulse_3
# Test nbytes property
_ = pulse_1.nbytes
pulse_12 = pulse_1 @ pulse_2
pulse_21 = pulse_2 @ pulse_1
pulse_45 = pulse_4 @ pulse_5
self.assertArrayEqual(pulse_12.dt, [*dt_1, *dt_2])
self.assertArrayEqual(pulse_21.dt, [*dt_2, *dt_1])
self.assertIs(pulse_12._t, None)
self.assertIs(pulse_21._t, None)
self.assertEqual(pulse_12._tau, pulse_1.tau + pulse_2.tau)
self.assertEqual(pulse_21._tau, pulse_1.tau + pulse_2.tau)
self.assertAlmostEqual(pulse_12.duration,
pulse_1.duration + pulse_2.duration)
self.assertAlmostEqual(pulse_21.duration,
pulse_2.duration + pulse_1.duration)
self.assertAlmostEqual(pulse_12.duration, pulse_21.duration)
self.assertArrayAlmostEqual(
pulse_12.t, [*pulse_1.t, *(pulse_2.t[1:] + pulse_1.tau)])
self.assertArrayAlmostEqual(
pulse_21.t, [*pulse_2.t, *(pulse_1.t[1:] + pulse_2.tau)])
self.assertArrayEqual(pulse_12.c_opers, [X, Y])
self.assertArrayEqual(pulse_21.c_opers, [Y, X])
self.assertArrayEqual(pulse_12.c_oper_identifiers, ['A_0_0', 'A_0_1'])
self.assertArrayEqual(pulse_21.c_oper_identifiers, ['A_0_0', 'A_0_1'])
self.assertArrayEqual(
pulse_12.c_coeffs,
[[*x_coeff_1, *np.zeros(n_dt_2)], [*np.zeros(n_dt_1), *y_coeff_2]])
self.assertArrayEqual(
pulse_21.c_coeffs,
[[*y_coeff_2, *np.zeros(n_dt_1)], [*np.zeros(n_dt_2), *x_coeff_1]])
self.assertArrayEqual(pulse_12.n_opers, [Z])
self.assertArrayEqual(pulse_21.n_opers, [Z])
self.assertArrayEqual(pulse_12.n_oper_identifiers, ['B_0'])
self.assertArrayEqual(pulse_21.n_oper_identifiers, ['B_0'])
self.assertArrayEqual(pulse_12.n_coeffs, [[*z_coeff_1, *z_coeff_2]])
self.assertArrayEqual(pulse_21.n_coeffs, [[*z_coeff_2, *z_coeff_1]])
# Make sure zero coefficients are handled correctly
self.assertFalse(np.any(np.isnan(pulse_45.c_coeffs)))
self.assertFalse(np.any(np.isnan(pulse_45.n_coeffs)))
self.assertArrayEqual(pulse_45.c_coeffs,
[[*pulse_4.c_coeffs[0], *np.zeros(5)],
[*pulse_4.c_coeffs[1], *np.zeros(5)]])
self.assertArrayEqual(
pulse_45.n_coeffs,
[[*pulse_4.n_coeffs[0], *[pulse_4.n_coeffs[0, 0]] * 5],
[*[pulse_5.n_coeffs[0, 0]] * 2, *pulse_5.n_coeffs[0]]])
omega = np.linspace(-100, 100, 101)
pulses = (pulse_1, pulse_2, pulse_12, pulse_21)
for pulse in pulses:
self.assertIsNone(pulse._total_phases)
self.assertIsNone(pulse._total_propagator)
self.assertIsNone(pulse._total_propagator_liouville)
total_phases = pulse.get_total_phases(omega)
total_propagator = pulse.total_propagator
total_propagator_liouville = pulse.total_propagator_liouville
self.assertArrayEqual(total_phases, pulse._total_phases)
self.assertArrayEqual(total_propagator, pulse._total_propagator)
self.assertArrayEqual(total_propagator_liouville,
pulse._total_propagator_liouville)
# Test custom identifiers
letters = rng.choice(list(string.ascii_letters),
size=(6, 5),
replace=False)
ids = [''.join(c) for c in letters[:3]]
labels = [''.join(c) for c in letters[3:]]
pulse = ff.PulseSequence(
list(zip([X, Y, Z], rng.standard_normal((3, 2)), ids, labels)),
list(zip([X, Y, Z], rng.standard_normal((3, 2)), ids, labels)),
[1, 1])
self.assertArrayEqual(pulse.c_oper_identifiers, sorted(ids))
self.assertArrayEqual(pulse.n_oper_identifiers, sorted(ids))
pulse = testutil.rand_pulse_sequence(2, 7, 1, 2)
periodic_pulse = ff.concatenate_periodic(pulse, 7)
self.assertIs(periodic_pulse._t, None)
self.assertEqual(periodic_pulse._tau, pulse.tau * 7)
self.assertArrayAlmostEqual(periodic_pulse.t,
[0, *periodic_pulse.dt.cumsum()])
