def test_kraus_to_ptm_qubit(self):
p_damp = 0.5
damp_kraus_mat = np.array([[[1, 0], [0, np.sqrt(1 - p_damp)]],
[[0, np.sqrt(p_damp)], [0, 0]]])
gm_qubit_basis = (bases.gell_mann(2), )
gm_two_qubit_basis = gm_qubit_basis * 2
damp_op = Operation.from_kraus(damp_kraus_mat, gm_qubit_basis)
damp_ptm = damp_op.ptm(gm_qubit_basis)
expected_mat = np.array([[1, 0, 0, 0], [0,
np.sqrt(1 - p_damp), 0, 0],
[0, 0, np.sqrt(1 - p_damp), 0],
[p_damp, 0, 0, 1 - p_damp]])
assert np.allclose(damp_ptm, expected_mat)
with pytest.raises(ValueError, match=r'.* must be list-like, .*'):
damp_op.set_bases(bases.gell_mann(2), bases.gell_mann(2))
cz_kraus_mat = np.diag([1, 1, 1, -1])
cz = Operation.from_kraus(cz_kraus_mat, gm_two_qubit_basis)
cz_ptm = cz.ptm(gm_two_qubit_basis)
assert cz_ptm.shape == (4, 4, 4, 4)
cz_ptm = cz_ptm.reshape((16, 16))
assert np.all(cz_ptm.round(3) <= 1)
assert np.all(cz_ptm.round(3) >= -1)
assert np.isclose(np.sum(cz_ptm[0, :]), 1)
assert np.isclose(np.sum(cz_ptm[:, 0]), 1)
def test_lindblad_singlequbit(self):
ham = random_hermitian_matrix(2, seed=56)
lindblad_ops = np.array([
[[0, 0.1], [0, 0]],
[[0, 0], [0, 0.33]],
])
t1 = 10
t2 = 25
b1 = (bases.general(2), )
b2 = (bases.gell_mann(2), )
op1 = Operation.from_lindblad_form(t1,
b1,
b2,
hamiltonian=ham,
lindblad_ops=lindblad_ops)
op2 = Operation.from_lindblad_form(t2,
b2,
b1,
hamiltonian=ham,
lindblad_ops=lindblad_ops)
op = Operation.from_lindblad_form(t1 + t2,
b1,
hamiltonian=ham,
lindblad_ops=lindblad_ops)
dm = random_hermitian_matrix(2, seed=3)
state1 = PauliVector.from_dm(dm, b1)
state2 = PauliVector.from_dm(dm, b1)
op1(state1, 0)
op2(state1, 0)
op(state2, 0)
assert np.allclose(state1.to_pv(), state2.to_pv())
def test_kraus_to_ptm_qubit(self):
p_damp = 0.5
damp_kraus_mat = np.array(
[[[1, 0], [0, np.sqrt(1 - p_damp)]],
[[0, np.sqrt(p_damp)], [0, 0]]])
gm_qubit_basis = (bases.gell_mann(2),)
gm_two_qubit_basis = gm_qubit_basis + gm_qubit_basis
damp_op = Operation.from_kraus(damp_kraus_mat, 2)
damp_ptm = damp_op.set_bases(bases_in=gm_qubit_basis,
bases_out=gm_qubit_basis).ptm
expected_mat = np.array([[1, 0, 0, 0],
[0, np.sqrt(1-p_damp), 0, 0],
[0, 0, np.sqrt(1-p_damp), 0],
[p_damp, 0, 0, 1-p_damp]])
assert np.allclose(damp_ptm, expected_mat)
with pytest.raises(ValueError, match=r'.* should be a list, .*'):
damp_op.set_bases(bases.gell_mann(2), bases.gell_mann(2))
cz_kraus_mat = np.diag([1, 1, 1, -1])
cz = Operation.from_kraus(cz_kraus_mat, 2).set_bases(gm_two_qubit_basis,
gm_two_qubit_basis)
assert cz.ptm.shape == (4, 4, 4, 4)
cz_ptm = cz.ptm.reshape((16, 16))
assert np.all(cz_ptm.round(3) <= 1)
assert np.all(cz_ptm.round(3) >= -1)
assert np.isclose(np.sum(cz_ptm[0, :]), 1)
assert np.isclose(np.sum(cz_ptm[:, 0]), 1)
def test_lindblad_time_inverse(self):
ham = random_hermitian_matrix(2, seed=4)
b = (bases.general(2), )
op_plus = Operation.from_lindblad_form(20, b, hamiltonian=ham)
op_minus = Operation.from_lindblad_form(20, b, hamiltonian=-ham)
dm = random_hermitian_matrix(2, seed=5)
state = PauliVector.from_dm(dm, b)
op_plus(state, 0)
op_minus(state, 0)
assert np.allclose(state.to_dm(), dm)
def test_lindblad_two_qubit(self):
b = (bases.general(2), )
id = np.array([[1, 0], [0, 1]])
ham1 = random_hermitian_matrix(2, seed=6)
ham2 = random_hermitian_matrix(2, seed=7)
ham = np.kron(ham1, id).reshape(2, 2, 2, 2) + \
np.kron(id, ham2).reshape(2, 2, 2, 2)
dm = random_hermitian_matrix(4, seed=3)
op1 = Operation.from_lindblad_form(25, b, hamiltonian=ham1)
op2 = Operation.from_lindblad_form(25, b, hamiltonian=ham2)
op = Operation.from_lindblad_form(25, b * 2, hamiltonian=ham)
state1 = PauliVector.from_dm(dm, b * 2)
state2 = PauliVector.from_dm(dm, b * 2)
op1(state1, 0)
op2(state1, 1)
op(state2, 0, 1)
assert np.allclose(state1.to_pv(), state2.to_pv())
ops1 = np.array([
[[0, 0.1], [0, 0]],
[[0, 0], [0, 0.33]],
])
ops2 = np.array([
[[0, 0.15], [0, 0]],
[[0, 0], [0, 0.17]],
])
ops = [np.kron(op, id).reshape(2, 2, 2, 2) for op in ops1] +\
[np.kron(id, op).reshape(2, 2, 2, 2) for op in ops2]
op1 = Operation.from_lindblad_form(25, b, lindblad_ops=ops1)
op2 = Operation.from_lindblad_form(25, b, lindblad_ops=ops2)
op = Operation.from_lindblad_form(25, b * 2, lindblad_ops=ops)
state1 = PauliVector.from_dm(dm, b * 2)
state2 = PauliVector.from_dm(dm, b * 2)
op1(state1, 0)
op2(state1, 1)
op(state2, 0, 1)
assert np.allclose(state1.to_pv(), state2.to_pv())
op1 = Operation.from_lindblad_form(25,
b,
hamiltonian=ham1,
lindblad_ops=ops1)
op2 = Operation.from_lindblad_form(25,
b,
hamiltonian=ham2,
lindblad_ops=ops2)
op = Operation.from_lindblad_form(25,
b * 2,
hamiltonian=ham,
lindblad_ops=ops)
state1 = PauliVector.from_dm(dm, b * 2)
state2 = PauliVector.from_dm(dm, b * 2)
op1(state1, 0)
op2(state1, 1)
op(state2, 0, 1)
assert np.allclose(state1.to_pv(), state2.to_pv())
def phase_damping(total_rate=None, *, x_deph_rate=None,
y_deph_rate=None, z_deph_rate=None):
if total_rate is not None:
kraus = np.array([[[1, 0], [0, np.sqrt(1 - total_rate)]],
[[0, 0], [0, np.sqrt(total_rate)]]])
return Operation.from_kraus(kraus, 2)
else:
if None in (x_deph_rate, y_deph_rate, z_deph_rate):
raise ValueError(
"Either the total_rate or the dephasing rates along each of "
"the three axis must be provided")
ptm = np.diag(
[1, 1 - x_deph_rate, 1 - y_deph_rate, 1 - z_deph_rate])
return Operation.from_ptm(ptm, (bases.gell_mann(2),))
def test_kraus_to_ptm_errors(self):
qutrit_basis = (bases.general(3), )
cz_kraus_mat = np.diag([1, 1, 1, -1])
kraus_op = Operation.from_kraus(cz_kraus_mat, 2)
wrong_dim_kraus = np.random.random((4, 4, 2, 2))
with pytest.raises(ValueError):
_ = Operation.from_kraus(wrong_dim_kraus, 2)
not_sqr_kraus = np.random.random((4, 2, 3))
with pytest.raises(ValueError):
_ = Operation.from_kraus(not_sqr_kraus, 2)
with pytest.raises(ValueError):
_ = Operation.from_kraus(cz_kraus_mat, 3)
with pytest.raises(ValueError):
_ = kraus_op.set_bases(qutrit_basis + qutrit_basis)
def amp_damping(total_rate=None, *, exc_rate=None, damp_rate=None):
if total_rate is not None:
kraus = np.array([[[1, 0], [0, np.sqrt(1 - total_rate)]],
[[0, np.sqrt(total_rate)], [0, 0]]])
return Operation.from_kraus(kraus, 2)
else:
if None in (exc_rate, damp_rate):
raise ValueError(
"Either the total_rate or both the exc_rate and damp_rate "
"must be provided")
comb_rate = exc_rate + damp_rate
ptm = np.array([[1, 0, 0, 0], [0, np.sqrt((1 - comb_rate)), 0, 0],
[0, 0, np.sqrt((1 - comb_rate)), 0],
[2 * damp_rate - comb_rate, 0, 0, 1 - comb_rate]])
return Operation.from_ptm(ptm, (bases.gell_mann(2), ))
def test_kraus_to_ptm_errors(self):
qutrit_basis = (bases.general(3),)
cz_kraus_mat = np.diag([1, 1, 1, -1])
kraus_op = Operation.from_kraus(cz_kraus_mat, 2)
wrong_dim_kraus = np.random.random((4, 4, 2, 2))
with pytest.raises(ValueError):
_ = Operation.from_kraus(wrong_dim_kraus, 2)
not_sqr_kraus = np.random.random((4, 2, 3))
with pytest.raises(ValueError):
_ = Operation.from_kraus(not_sqr_kraus, 2)
with pytest.raises(ValueError):
_ = Operation.from_kraus(cz_kraus_mat, 3)
with pytest.raises(ValueError):
_ = kraus_op.set_bases(qutrit_basis + qutrit_basis)
def phase_flipping(flip_rate):
# This is actually equivalent to the phase damping
matrix = np.array([
np.sqrt(flip_rate) * _PAULI["I"],
np.sqrt(1 - flip_rate) * _PAULI["Z"]
])
return Operation.from_kraus(matrix, 2)
def phase_damping(total_rate=None,
*,
x_deph_rate=None,
y_deph_rate=None,
z_deph_rate=None):
if total_rate is not None:
kraus = np.array([[[1, 0], [0, np.sqrt(1 - total_rate)]],
[[0, 0], [0, np.sqrt(total_rate)]]])
return Operation.from_kraus(kraus, 2)
else:
if None in (x_deph_rate, y_deph_rate, z_deph_rate):
raise ValueError(
"Either the total_rate or the dephasing rates along each of "
"the three axis must be provided")
ptm = np.diag([1, 1 - x_deph_rate, 1 - y_deph_rate, 1 - z_deph_rate])
return Operation.from_ptm(ptm, (bases.gell_mann(2), ))
def test_create_timed_model():
basis = (bases.general(2), )
class SampleModel(Model):
dim = 2
@Model.gate(duration=20)
def rotate_y(self, qubit):
return (
self.wait(qubit, 10),
ParametrizedOperation(lib.rotate_y, basis),
self.wait(qubit, 10),
)
@Model.gate(duration='t_twoqubit')
def cphase(self, qubit_static, qubit_fluxed):
return (
self.wait(qubit_static, 0.5 * self.p('t_twoqubit')),
self.wait(qubit_fluxed, 0.5 * self.p('t_twoqubit')),
lib.cphase(pi).at(qubit_static, qubit_fluxed),
self.wait(qubit_static, 0.5 * self.p('t_twoqubit')),
self.wait(qubit_fluxed, 0.5 * self.p('t_twoqubit')),
)
@Model.gate(duration=lambda qubit, setup: 600
if qubit == 'D0' else 400)
def strange_duration_gate(self, qubit):
return lib.rotate_y(pi)
@staticmethod
def _filter_wait_placeholders(operation):
return Operation.from_sequence([
unit for unit in operation.units()
if not isinstance(unit.operation, WaitPlaceholder)
])
def finalize(self, circuit, bases_in=None):
return circuit.finalize([self._filter_wait_placeholders], bases_in)
sample_setup = Setup("""
setup:
- t_twoqubit: 40
""")
m = SampleModel(sample_setup)
cnot = m.rotate_y('D0', angle=0.5*pi) + m.cphase('D0', 'D1') + \
m.rotate_y('D0', angle=-0.5*pi)
cnot = m.finalize(cnot)
assert cnot.operation.ptm(basis * 2, basis * 2) == approx(
Operation.from_sequence(
lib.rotate_y(0.5 * pi).at(0),
lib.cphase(pi).at(0, 1),
lib.rotate_y(-0.5 * pi).at(0),
).ptm(basis * 2, basis * 2))
gate1 = m.strange_duration_gate('D0')
assert gate1.duration == 600
gate2 = m.strange_duration_gate('D1')
assert gate2.duration == 400
def rotate_euler(phi, theta, lamda):
"""A perfect single qubit rotation described by three Euler angles.
Unitary operation, that corresponds to this rotation, is:
.. math::
U = R_Z(\\phi) \\cdot R_X(\\theta) \\cdot R_Z(\\lambda)
Parameters
----------
phi, theta, lamda: float
Euler rotation angles in radians.
Returns
-------
Operation
An operation, that corresponds to the rotation.
"""
exp_phi, exp_lambda = np.exp(1j * phi), np.exp(1j * lamda)
sin_theta, cos_theta = np.sin(theta / 2), np.cos(theta / 2)
matrix = np.array([
[cos_theta, -1j * exp_lambda * sin_theta, 0],
[-1j * exp_phi * sin_theta, exp_phi * exp_lambda * cos_theta, 0],
[0, 0, 1]])
return Operation.from_kraus(matrix, 3)
def amp_damping(p0_up, p1_up, p1_down, p2_down):
"""
A gate, that excites or relaxes a qubit with a certain probability.
Parameters
----------
p0_up : float
Probability to excite to state 1, being in the state 0
p1_up : float
Probability to excite to state 2, being in the state 1
p1_down : float
Probability to relax to state 0, being in the state 1
p2_down : float
Probability to relax to state 1, being in the state 2
Returns
-------
quantumsim.operation._PTMOperation
"""
ptm = np.identity(9, dtype=float)
ptm[:3, :3] = [[1. - p0_up, p1_down, 0.],
[p0_up, 1. - p1_down - p1_up, p2_down],
[0., p1_up, 1 - p2_down]]
basis = (bases.general(3), )
return Operation.from_ptm(ptm, basis, basis)
def rotate_euler(phi, theta, lamda):
"""A perfect single qubit rotation described by three Euler angles.
Unitary operation, that corresponds to this rotation, is:
.. math::
U = R_Z(\\phi) \\cdot R_X(\\theta) \\cdot R_Z(\\lambda)
Parameters
----------
phi, theta, lamda: float
Euler rotation angles in radians.
Returns
-------
Operation
An operation, that corresponds to the rotation.
"""
exp_phi, exp_lambda = np.exp(1j * phi), np.exp(1j * lamda)
sin_theta, cos_theta = np.sin(theta / 2), np.cos(theta / 2)
matrix = np.array([
[cos_theta, -1j * exp_lambda * sin_theta],
[-1j * exp_phi * sin_theta, exp_phi * exp_lambda * cos_theta]])
return Operation.from_kraus(matrix, 2)
def test_chain_compile_leaking(self):
b = bases.general(3)
chain0 = Operation.from_sequence(
lib3.rotate_x(0.5 * np.pi).at(2),
lib3.cphase(leakage_rate=0.1).at(0, 2),
lib3.cphase(leakage_rate=0.1).at(1, 2),
lib3.rotate_x(-0.75 * np.pi).at(2),
lib3.rotate_x(0.25 * np.pi).at(2),
)
b0 = b.subbasis([0])
b01 = b.subbasis([0, 1])
b0134 = b.subbasis([0, 1, 3, 4])
chain1 = chain0.compile((b0, b0, b0134), (b, b, b))
assert isinstance(chain1, _Chain)
# Ancilla is not leaking here
anc_basis = chain1._units[1].operation.bases_out[1]
for label in anc_basis.labels:
assert '2' not in label
chain2 = chain0.compile((b01, b01, b0134), (b, b, b))
# Ancilla is leaking here
assert isinstance(chain2, _Chain)
anc_basis = chain2._units[1].operation.bases_out[1]
for label in '2', 'X20', 'Y20', 'X21', 'Y21':
assert label in anc_basis.labels
def test_chain_merge_prev(self, d, lib):
b = bases.general(d)
rng = np.random.RandomState(4242)
dm = rng.randn(d*d, d*d) + 1j * rng.randn(d*d, d*d)
dm += dm.conjugate().transpose()
dm /= dm.trace()
chain = Operation.from_sequence(
(lib.cphase(angle=np.pi/7, leakage=0.25)
if d == 3 else lib.cphase(3*np.pi / 7)).at(0, 1),
lib.rotate_x(4 * np.pi / 7).at(0),
)
bases_full = (b, b)
chain_c = chain.compile(bases_full, bases_full)
assert len(chain.operations) == 2
assert isinstance(chain_c, _PTMOperation)
state1 = State.from_dm(dm, bases_full)
state2 = State.from_dm(dm, bases_full)
chain(state1, 0, 1)
chain_c(state2, 0, 1)
assert np.allclose(state1.meas_prob(0), state2.meas_prob(0))
assert np.allclose(state1.meas_prob(1), state2.meas_prob(1))
def test_create_untimed_model():
basis = (bases.general(2), )
class SampleModel(Model):
dim = 2
@Model.gate()
def rotate_y(self, qubit):
return (ParametrizedOperation(lib.rotate_y, basis), )
@Model.gate()
def cphase(self, qubit_static, qubit_fluxed):
return (lib.cphase(pi).at(qubit_static, qubit_fluxed), )
sample_setup = Setup("""
setup: []
""")
m = SampleModel(sample_setup)
cnot = m.rotate_y('D0', angle=0.5*pi) + m.cphase('D0', 'D1') + \
m.rotate_y('D0', angle=-0.5*pi)
assert cnot.finalize().operation.ptm(basis * 2, basis * 2) == approx(
Operation.from_sequence(
lib.rotate_y(0.5 * pi).at(0),
lib.cphase(pi).at(0, 1),
lib.rotate_y(-0.5 * pi).at(0),
).ptm(basis * 2, basis * 2))
def idle(duration, t1, t2, anharmonicity=0.):
if np.isfinite(t1) and np.isfinite(t2):
t_phi = 1. / (1. / t2 - 0.5 / t1)
if t_phi < 0:
raise ValueError('t2 must be less than 2*t1')
elif np.allclose(t_phi, 0):
ops_t2 = []
else:
ops_t2 = [(8. / (9 * t_phi))**0.5 *
np.array([[1, 0, 0], [0, 0, 0], [0, 0, -1]]),
(2. / (9 * t_phi))**0.5 *
np.array([[1, 0, 0], [0, -1, 0], [0, 0, 0]]),
(2. / (9 * t_phi))**0.5 *
np.array([[0, 0, 0], [0, 1, 0], [0, 0, -1]])]
else:
ops_t2 = []
op_t1 = t1**-0.5 * np.array([[0, 1, 0], [0, 0, np.sqrt(2)], [0, 0, 0]])
if not np.allclose(anharmonicity, 0.):
ham = np.array([
[0., 0., 0.],
[0., 0., 0.],
[0., 0., anharmonicity],
])
else:
ham = None
return Operation.from_lindblad_form(duration, (bases.general(3), ),
hamiltonian=ham,
lindblad_ops=[op_t1, *ops_t2])
def test_chain_merge_prev(self, d, lib):
b = bases.general(d)
rng = np.random.RandomState(4242)
dm = rng.randn(d * d, d * d) + 1j * rng.randn(d * d, d * d)
dm += dm.conjugate().transpose()
dm /= dm.trace()
chain = Operation.from_sequence(
(lib.cphase(angle=np.pi / 7, leakage_rate=0.25)
if d == 3 else lib.cphase(3 * np.pi / 7)).at(0, 1),
lib.rotate_x(4 * np.pi / 7).at(0),
)
bases_full = (b, b)
chain_c = chain.compile(bases_full, bases_full)
assert len(chain._units) == 2
assert isinstance(chain_c, PTMOperation)
pv1 = PauliVector.from_dm(dm, bases_full)
pv2 = PauliVector.from_dm(dm, bases_full)
chain(pv1, 0, 1)
chain_c(pv2, 0, 1)
assert np.allclose(pv1.meas_prob(0), pv2.meas_prob(0))
assert np.allclose(pv1.meas_prob(1), pv2.meas_prob(1))
def depolarization(rate):
rate = rate / 2
sqrt = np.sqrt(rate)
matrix = np.array([
np.sqrt(2 - (3 * rate)) * _PAULI["I"], sqrt * _PAULI["X"],
sqrt * _PAULI["Y"], sqrt * _PAULI["Z"]
])
return Operation.from_kraus(matrix, 2)
def depolarization(rate):
rate = rate / 2
sqrt = np.sqrt(rate)
matrix = np.array([np.sqrt(2 - (3 * rate)) * _PAULI["I"],
sqrt * _PAULI["X"],
sqrt * _PAULI["Y"],
sqrt * _PAULI["Z"]])
return Operation.from_kraus(matrix, 2)
def amp_damping(total_rate=None, *, exc_rate=None, damp_rate=None):
if total_rate is not None:
kraus = np.array([[[1, 0], [0, np.sqrt(1 - total_rate)]],
[[0, np.sqrt(total_rate)], [0, 0]]])
return Operation.from_kraus(kraus, 2)
else:
if None in (exc_rate, damp_rate):
raise ValueError(
"Either the total_rate or both the exc_rate and damp_rate "
"must be provided")
comb_rate = exc_rate + damp_rate
ptm = np.array([
[1, 0, 0, 0],
[0, np.sqrt((1 - comb_rate)), 0, 0],
[0, 0, np.sqrt((1 - comb_rate)), 0],
[2*damp_rate - comb_rate, 0, 0, 1 - comb_rate]])
return Operation.from_ptm(ptm, (bases.gell_mann(2),))
def cnot():
dcnot = np.zeros((9, 9))
dcnot[3, 3] = 0.5
dcnot[4, 4] = 0.5
dcnot[3, 4] = -0.5
dcnot[4, 3] = -0.5
unitary = expm(-1j*np.pi*dcnot)
return Operation.from_kraus(unitary, 3)
def test_circuits_params(self):
dim = 2
basis = (bases.general(dim), ) * 2
orotate = lib.rotate_y
ocphase = lib.cphase
grotate = Gate('Q0', dim, ParametrizedOperation(orotate, basis[:1]))
gcphase = Gate(('Q0', 'Q1'), dim,
ParametrizedOperation(ocphase, basis))
with pytest.raises(RuntimeError,
match=r".*free parameters.*\n"
r".*angle.*\n"
r".*allow_param_repeat.*"):
_ = gcphase + grotate
with allow_param_repeat():
circuit = grotate + gcphase + grotate
assert circuit.free_parameters == {sympy.symbols('angle')}
assert len(circuit.gates) == 3
angle = 0.736
assert c_op(circuit(angle=angle)).ptm(basis, basis) == \
approx(Operation.from_sequence(
orotate(angle).at(0), ocphase(angle).at(0, 1),
orotate(angle).at(0)
).ptm(basis, basis))
angle1 = 0.4 * pi
angle2 = 1.01 * pi
angle3 = -0.6 * pi
ptm_ref = Operation.from_sequence(
orotate(angle1).at(0),
ocphase(angle2).at(0, 1),
orotate(angle3).at(0)).ptm(basis, basis)
circuit = grotate(angle=angle1) + gcphase(angle=angle2) + \
grotate(angle=angle3)
assert circuit.finalize().operation.ptm(basis, basis) == \
approx(ptm_ref)
circuit = grotate(angle='angle1') + gcphase(angle='angle2') + \
grotate(angle='angle3')
assert c_op(circuit(angle1=angle1, angle2=angle2,
angle3=angle3)).ptm(basis,
basis) == approx(ptm_ref)
def controlled_unitary(unitary):
dim_hilbert = unitary.shape[0]
if unitary.shape != (dim_hilbert, dim_hilbert):
raise ValueError("Unitary matrix must be square")
control_block = np.eye(2)
off_diag_block_0 = np.zeros((2, dim_hilbert))
off_diag_block_1 = np.zeros((dim_hilbert, 2))
matrix = np.array([[control_block, off_diag_block_0],
[off_diag_block_1, unitary]])
return Operation.from_kraus(matrix, 2)
def hadamard():
"""A perfect Hadamard operation.
Returns
-------
Operation.from_kraus
An operation, that corresponds to the rotation.
"""
matrix = np.sqrt(0.5) * np.array([[1, 1], [1, -1]])
return Operation.from_kraus(matrix, 2)
def hadamard():
"""A perfect Hadamard operation.
Returns
-------
Operation.from_kraus
An operation, that corresponds to the rotation.
"""
matrix = np.sqrt(0.5)*np.array([[1, 1], [1, -1]])
return Operation.from_kraus(matrix, 2)
def controlled_unitary(unitary):
dim_hilbert = unitary.shape[0]
if unitary.shape != (dim_hilbert, dim_hilbert):
raise ValueError("Unitary matrix must be square")
control_block = np.eye(2)
off_diag_block_0 = np.zeros((2, dim_hilbert))
off_diag_block_1 = np.zeros((dim_hilbert, 2))
matrix = np.array([[control_block, off_diag_block_0],
[off_diag_block_1, unitary]])
return Operation.from_kraus(matrix, 2)
def test_chain_compile_single_qubit(self, d, lib):
b = bases.general(d)
dm = random_hermitian_matrix(d, seed=487)
bases_full = (b, )
subbases = (b.subbasis([0, 1]), )
angle = np.pi / 5
rx_angle = lib.rotate_x(angle)
rx_2angle = lib.rotate_x(2 * angle)
chain0 = Operation.from_sequence(rx_angle.at(0), rx_angle.at(0))
pv0 = PauliVector.from_dm(dm, bases_full)
chain0(pv0, 0)
assert chain0.num_qubits == 1
assert len(chain0._units) == 2
chain0_c = chain0.compile(bases_full, bases_full)
assert isinstance(chain0_c, PTMOperation)
pv1 = PauliVector.from_dm(dm, bases_full)
chain0_c(pv1, 0)
assert chain0_c.num_qubits == 1
assert isinstance(chain0_c, PTMOperation)
op_angle = chain0_c
op_2angle = rx_2angle.compile(bases_full, bases_full)
assert isinstance(op_2angle, PTMOperation)
assert op_angle.shape == op_2angle.shape
assert op_angle.bases_in == op_2angle.bases_in
assert op_angle.bases_out == op_2angle.bases_out
assert op_angle.ptm(op_angle.bases_in, op_angle.bases_out) == \
approx(op_2angle.ptm(op_2angle.bases_in, op_2angle.bases_out))
assert pv1.to_pv() == approx(pv0.to_pv())
rx_pi = lib.rotate_x(np.pi)
chain_2pi = Operation.from_sequence(rx_pi.at(0), rx_pi.at(0))
chain_2pi_c1 = chain_2pi.compile(subbases, bases_full)
assert isinstance(chain_2pi_c1, PTMOperation)
assert chain_2pi_c1.bases_in == subbases
assert chain_2pi_c1.bases_out == subbases
chain_2pi_c2 = chain_2pi.compile(bases_full, subbases)
assert isinstance(chain_2pi_c2, PTMOperation)
assert chain_2pi_c2.bases_in == subbases
assert chain_2pi_c2.bases_out == subbases
def hadamard():
"""A perfect Hadamard operation.
Returns
-------
Operation
An operation, that corresponds to the rotation.
"""
s = np.sqrt(0.5)
matrix = np.array([[s, s, 0], [s, -s, 0], [0, 0, 1]])
return Operation.from_kraus(matrix, 3)
def test_ptm(self):
# Some random gate sequence
op_indices = [(lib2.rotate_x(np.pi / 2), (0, )),
(lib2.rotate_y(0.3333), (1, )), (lib2.cphase(), (0, 2)),
(lib2.cphase(), (1, 2)),
(lib2.rotate_x(-np.pi / 2), (0, ))]
circuit = Operation.from_sequence(*(op.at(*ix)
for op, ix in op_indices))
b = (bases.general(2), ) * 3
ptm = circuit.ptm(b, b)
assert isinstance(ptm, np.ndarray)
op_3q = Operation.from_ptm(ptm, b)
dm = random_hermitian_matrix(8, seed=93)
state1 = PauliVector.from_dm(dm, b)
state2 = PauliVector.from_dm(dm, b)
circuit(state1, 0, 1, 2)
op_3q(state2, 0, 1, 2)
assert np.allclose(state1.to_pv(), state2.to_pv())
def test_convert_ptm_basis(self):
p_damp = 0.5
damp_kraus_mat = np.array([[[1, 0], [0, np.sqrt(1 - p_damp)]],
[[0, np.sqrt(p_damp)], [0, 0]]])
gell_mann_basis = (bases.gell_mann(2), )
general_basis = (bases.general(2), )
op1 = Operation.from_kraus(damp_kraus_mat, gell_mann_basis)
op2 = op1.set_bases(general_basis, general_basis) \
.set_bases(gell_mann_basis, gell_mann_basis)
assert np.allclose(op1.ptm(gell_mann_basis), op2.ptm(gell_mann_basis))
assert op1.bases_in == op2.bases_in
assert op1.bases_out == op2.bases_out
def test_circuits_add(self):
dim = 2
orplus = lib.rotate_y(0.5 * pi)
ocphase = lib.cphase(pi)
orminus = lib.rotate_y(-0.5 * pi)
grplus = Gate('Q0', dim, orplus)
gcphase = Gate(('Q0', 'Q1'), dim, ocphase)
grminus = Gate('Q0', dim, orminus)
basis = (bases.general(2), ) * 2
circuit = grplus + gcphase
assert circuit.qubits == ['Q0', 'Q1']
assert len(circuit.gates) == 2
assert c_op(circuit).ptm(basis, basis) == approx(
Operation.from_sequence(orplus.at(0),
ocphase.at(0, 1)).ptm(basis, basis))
circuit = circuit + grminus
assert circuit.qubits == ['Q0', 'Q1']
assert len(circuit.gates) == 3
assert c_op(circuit).ptm(basis, basis) == approx(
Operation.from_sequence(orplus.at(0), ocphase.at(0, 1),
orminus.at(0)).ptm(basis, basis))
circuit = grplus + (gcphase + grminus)
assert circuit.qubits == ['Q0', 'Q1']
assert len(circuit.gates) == 3
assert c_op(circuit).ptm(basis, basis) == approx(
Operation.from_sequence(orplus.at(0), ocphase.at(0, 1),
orminus.at(0)).ptm(basis, basis))
grplus = Gate('Q1', dim, orplus)
grminus = Gate('Q1', dim, orminus)
circuit = grplus + gcphase + grminus
assert circuit.qubits == ['Q1', 'Q0']
assert len(circuit.gates) == 3
assert c_op(circuit).ptm(basis, basis) == approx(
Operation.from_sequence(orplus.at(0), ocphase.at(0, 1),
orminus.at(0)).ptm(basis, basis))
basis = (basis[0], ) * 3
grplus = Gate('Q2', dim, orplus)
grminus = Gate('Q0', dim, orminus)
circuit = grplus + gcphase + grminus
assert circuit.qubits == ['Q2', 'Q0', 'Q1']
assert len(circuit.gates) == 3
assert c_op(circuit).ptm(basis, basis) == approx(
Operation.from_sequence(orplus.at(0), ocphase.at(1, 2),
orminus.at(1)).ptm(basis, basis))
grplus = Gate('Q0', dim, orplus)
grminus = Gate('Q2', dim, orminus)
circuit = grplus + gcphase + grminus
assert circuit.qubits == ['Q0', 'Q1', 'Q2']
assert len(circuit.gates) == 3
assert c_op(circuit).ptm(basis, basis) == approx(
Operation.from_sequence(orplus.at(0), ocphase.at(0, 1),
orminus.at(2)).ptm(basis, basis))
def test_chain_compile_single_qubit(self, d, lib):
b = bases.general(d)
dm = random_density_matrix(d, seed=487)
bases_full = (b,)
subbases = (b.subbasis([0, 1]),)
angle = np.pi/5
rx_angle = lib.rotate_x(angle)
rx_2angle = lib.rotate_x(2*angle)
chain0 = Operation.from_sequence(rx_angle.at(0), rx_angle.at(0))
state0 = State.from_dm(dm, bases_full)
chain0(state0, 0)
assert chain0.num_qubits == 1
assert len(chain0.operations) == 2
chain0_c = chain0.compile(bases_full, bases_full)
state1 = State.from_dm(dm, bases_full)
chain0_c(state1, 0)
assert chain0_c.num_qubits == 1
assert isinstance(chain0_c, _PTMOperation)
op_angle = chain0_c
op_2angle = rx_2angle.compile(bases_full, bases_full)
assert op_angle.shape == op_2angle.shape
assert op_angle.bases_in == op_2angle.bases_in
assert op_angle.bases_out == op_2angle.bases_out
assert op_angle.ptm == approx(op_2angle.ptm)
assert state1.to_pv() == approx(state0.to_pv())
rx_pi = lib.rotate_x(np.pi)
chain_2pi = Operation.from_sequence(rx_pi.at(0), rx_pi.at(0))
chain_2pi_c1 = chain_2pi.compile(subbases, bases_full)
assert isinstance(chain_2pi_c1, _PTMOperation)
assert chain_2pi_c1.bases_in == subbases
assert chain_2pi_c1.bases_out == subbases
chain_2pi_c2 = chain_2pi.compile(bases_full, subbases)
assert isinstance(chain_2pi_c2, _PTMOperation)
assert chain_2pi_c2.bases_in == subbases
assert chain_2pi_c2.bases_out == subbases
def test_kraus_to_ptm_qutrits(self):
cz_kraus_mat = np.diag([1, 1, 1, 1, -1, 1, -1, 1, 1])
qutrit_basis = (bases.gell_mann(3), )
system_bases = qutrit_basis * 2
cz = Operation.from_kraus(cz_kraus_mat, system_bases)
cz_ptm = cz.ptm(system_bases)
assert cz_ptm.shape == (9, 9, 9, 9)
cz_ptm_flat = cz_ptm.reshape((81, 81))
assert np.all(cz_ptm_flat.round(3) <= 1) and np.all(
cz_ptm.round(3) >= -1)
assert np.isclose(np.sum(cz_ptm_flat[0, :]), 1)
assert np.isclose(np.sum(cz_ptm_flat[:, 0]), 1)
def test_kraus_to_ptm_qutrits(self):
cz_kraus_mat = np.diag([1, 1, 1, 1, -1, 1, -1, 1, 1])
qutrit_basis = (bases.gell_mann(3),)
system_bases = qutrit_basis * 2
cz = Operation.from_kraus(cz_kraus_mat, 3).set_bases(system_bases,
system_bases)
assert cz.ptm.shape == (9, 9, 9, 9)
cz_ptm_flat = cz.ptm.reshape((81, 81))
assert np.all(cz_ptm_flat.round(3) <= 1) and np.all(
cz.ptm.round(3) >= -1)
assert np.isclose(np.sum(cz_ptm_flat[0, :]), 1)
assert np.isclose(np.sum(cz_ptm_flat[:, 0]), 1)
def cphase(angle=np.pi):
"""A perfect controlled phase rotation.
Parameters
----------
angle: float, optional
Rotation angle in radians. Default is :math:`\\pi`.
Returns
-------
Operation.from_kraus
An operation, that corresponds to the rotation.
"""
matrix = np.diag([1, 1, 1, np.exp(1j * angle)])
return Operation.from_kraus(matrix, 2)
def test_convert_ptm_basis(self):
p_damp = 0.5
damp_kraus_mat = np.array(
[[[1, 0], [0, np.sqrt(1-p_damp)]],
[[0, np.sqrt(p_damp)], [0, 0]]])
gell_mann_basis = (bases.gell_mann(2),)
general_basis = (bases.general(2),)
damp_op_kraus = Operation.from_kraus(damp_kraus_mat, 2)
op1 = damp_op_kraus.set_bases(gell_mann_basis, gell_mann_basis)
op2 = damp_op_kraus.set_bases(general_basis, general_basis) \
.set_bases(gell_mann_basis, gell_mann_basis)
assert np.allclose(op1.ptm, op2.ptm)
assert op1.bases_in == op2.bases_in
assert op1.bases_out == op2.bases_out
def cphase(angle=np.pi):
"""A perfect controlled phase rotation.
Parameters
----------
angle: float, optional
Rotation angle in radians. Default is :math:`\\pi`.
Returns
-------
Operation.from_kraus
An operation, that corresponds to the rotation.
"""
matrix = np.diag([1, 1, 1, np.exp(1j * angle)])
return Operation.from_kraus(matrix, 2)
def rotate_y(angle=np.pi):
"""A perfect single qubit rotation around :math:`Oy` axis.
Parameters
----------
angle: float, optional
Rotation angle in radians. Default is :math:`\\pi`.
Returns
-------
Operation
An operation, that corresponds to the rotation.
"""
sin, cos = np.sin(angle / 2), np.cos(angle / 2)
matrix = np.array([[cos, -sin, 0], [sin, cos, 0], [0, 0, 1]])
return Operation.from_kraus(matrix, 3)
def rotate_y(angle=np.pi):
"""A perfect single qubit rotation around :math:`Oy` axis.
Parameters
----------
angle: float, optional
Rotation angle in radians. Default is :math:`\\pi`.
Returns
-------
Operation.from_kraus
An operation, that corresponds to the rotation.
"""
sin, cos = np.sin(angle / 2), np.cos(angle / 2)
matrix = np.array([[cos, -sin], [sin, cos]])
return Operation.from_kraus(matrix, 2)
def rotate_z(angle=np.pi):
"""A perfect single qubit rotation around :math:`Oz` axis.
Parameters
----------
angle: float, optional
Rotation angle in radians. Default is :math:`\\pi`.
Returns
-------
Operation.from_kraus
An operation, that corresponds to the rotation.
"""
exp = np.exp(-1j * angle / 2)
matrix = np.diag([exp, exp.conj()])
return Operation.from_kraus(matrix, 2)
def rotate_z(angle=np.pi):
"""A perfect single qubit rotation around :math:`Oz` axis.
Parameters
----------
angle: float, optional
Rotation angle in radians. Default is :math:`\\pi`.
Returns
-------
Operation
An operation, that corresponds to the rotation.
"""
exp = np.exp(-1j * angle / 2)
matrix = np.diag([exp, exp.conj(), 1])
return Operation.from_kraus(matrix, 3)
def iswap(angle=np.pi/2):
"""A perfect controlled phase rotation.
Parameters
----------
angle: float, optional
Rotation angle in radians. Default is :math:`\\pi`.
Returns
-------
Operation.from_kraus
An operation, that corresponds to the rotation.
"""
sin, cos = np.sin(angle), np.cos(angle)
matrix = np.array([[1, 0, 0, 0],
[0, cos, 1j*sin, 0],
[0, 1j*sin, cos, 0],
[0, 0, 0, 1]])
return Operation.from_kraus(matrix, 2)
def test_zz_parity_compilation(self):
b_full = bases.general(3)
b0 = b_full.subbasis([0])
b01 = b_full.subbasis([0, 1])
b012 = b_full.subbasis([0, 1, 2])
bases_in = (b01, b01, b0)
bases_out = (b_full, b_full, b012)
zz = Operation.from_sequence(
lib3.rotate_x(-np.pi/2).at(2),
lib3.cphase(leakage=0.1).at(0, 2),
lib3.cphase(leakage=0.25).at(2, 1),
lib3.rotate_x(np.pi/2).at(2),
lib3.rotate_x(np.pi).at(0),
lib3.rotate_x(np.pi).at(1)
)
zzc = zz.compile(bases_in=bases_in, bases_out=bases_out)
assert len(zzc.operations) == 2
op1, ix1 = zzc.operations[0]
op2, ix2 = zzc.operations[1]
assert ix1 == (0, 2)
assert ix2 == (1, 2)
assert op1.bases_in[0] == bases_in[0]
assert op2.bases_in[0] == bases_in[1]
assert op1.bases_in[1] == bases_in[2]
# Qubit 0 did not leak
assert op1.bases_out[0] == bases_out[0].subbasis([0, 1, 3, 4])
# Qubit 1 leaked
assert op2.bases_out[0] == bases_out[1].subbasis([0, 1, 2, 6])
# Qubit 2 is measured
assert op2.bases_out[1] == bases_out[2]
dm = random_density_matrix(3**3, seed=85)
state1 = State.from_dm(dm, (b01, b01, b0))
state2 = State.from_dm(dm, (b01, b01, b0))
zz(state1, 0, 1, 2)
zzc(state2, 0, 1, 2)
# Compiled version still needs to be projected, so we can't compare
# Pauli vectors, so we can to check only DM diagonals.
assert np.allclose(state1.diagonal(), state2.diagonal())
def test_chain_compile_three_qubit(self, d, lib):
b = bases.general(d)
b0 = b.subbasis([0])
chain0 = Operation.from_sequence(
lib.rotate_x(0.5*np.pi).at(2),
lib.cphase().at(0, 2),
lib.cphase().at(1, 2),
lib.rotate_x(-0.75*np.pi).at(2),
lib.rotate_x(0.25*np.pi).at(2),
)
chain1 = chain0.compile((b, b, b0), (b, b, b))
assert chain1.operations[0].indices == (0, 2)
assert chain1.operations[0].operation.bases_in == (b, b0)
assert chain1.operations[0].operation.bases_out[0] == b
assert chain1.operations[1].indices == (1, 2)
assert chain1.operations[1].operation.bases_in[0] == b
assert chain1.operations[1].operation.bases_out[0] == b
for label in '0', '1', 'X10', 'Y10':
assert label in chain1.operations[1].operation.bases_out[1].labels
def test_chain_apply(self):
b = (bases.general(2),) * 3
dm = random_density_matrix(8, seed=93)
state1 = State.from_dm(dm, b)
state2 = State.from_dm(dm, b)
# Some random gate sequence
op_indices = [(lib2.rotate_x(np.pi/2), (0,)),
(lib2.rotate_y(0.3333), (1,)),
(lib2.cphase(), (0, 2)),
(lib2.cphase(), (1, 2)),
(lib2.rotate_x(-np.pi/2), (0,))]
for op, indices in op_indices:
op(state1, *indices),
circuit = Operation.from_sequence(
*(op.at(*ix) for op, ix in op_indices))
circuit(state2, 0, 1, 2)
assert np.all(state1.to_pv() == state2.to_pv())
def cphase(angle=np.pi, leakage=0.):
"""A perfect controlled phase rotation.
First qubit is low-frequency, second qubit is high-frequency (it leaks).
Parameters
----------
angle: float, optional
Rotation angle in radians. Default is :math:`\\pi`.
leakage: float, optional
Leakage rate of a CPhase gate
Returns
-------
Operation
An operation, that corresponds to the rotation.
"""
dcphase = np.zeros((9, 9))
dcphase[2, 4] = 1
dcphase[4, 2] = 1
angle_frac = 1 - np.arcsin(np.sqrt(leakage)) / np.pi
unitary = expm(-1j*angle*angle_frac*dcphase)
return Operation.from_kraus(unitary, 3)
def test_chain_compile_leaking(self):
b = bases.general(3)
chain0 = Operation.from_sequence(
lib3.rotate_x(0.5*np.pi).at(2),
lib3.cphase(leakage=0.1).at(0, 2),
lib3.cphase(leakage=0.1).at(1, 2),
lib3.rotate_x(-0.75*np.pi).at(2),
lib3.rotate_x(0.25*np.pi).at(2),
)
b0 = b.subbasis([0])
b01 = b.subbasis([0, 1])
b0134 = b.subbasis([0, 1, 3, 4])
chain1 = chain0.compile((b0, b0, b0134), (b, b, b))
# Ancilla is not leaking here
anc_basis = chain1.operations[1].operation.bases_out[1]
for label in anc_basis.labels:
assert '2' not in label
chain2 = chain0.compile((b01, b01, b0134), (b, b, b))
# Ancilla is leaking here
anc_basis = chain2.operations[1].operation.bases_out[1]
for label in '2', 'X20', 'Y20', 'X21', 'Y21':
assert label in anc_basis.labels
def test_chain_merge_next(self, d, lib):
b = bases.general(d)
dm = random_density_matrix(d**2, seed=574)
chain = Operation.from_sequence(
lib.rotate_x(np.pi / 5).at(0),
(lib.cphase(angle=3*np.pi/7, leakage=0.1)
if d == 3 else lib.cphase(3*np.pi / 7)).at(0, 1),
)
bases_full = (b, b)
chain_c = chain.compile(bases_full, bases_full)
assert len(chain.operations) == 2
assert isinstance(chain_c, _PTMOperation)
state1 = State.from_dm(dm, bases_full)
state2 = State.from_dm(dm, bases_full)
chain(state1, 0, 1)
chain_c(state2, 0, 1)
assert state1.meas_prob(0) == approx(state2.meas_prob(0))
assert state1.meas_prob(1) == approx(state2.meas_prob(1))
def idle(duration, t1, t2, anharmonicity=0.):
t_phi = 1./(1./t2 - 0.5/t1)
op_t1 = t1**-0.5 * np.array([
[0, 1, 0],
[0, 0, np.sqrt(2)],
[0, 0, 0]
])
ops_t2 = [
(8. / (9*t_phi))**0.5 * np.array([
[1, 0, 0],
[0, 0, 0],
[0, 0, -1]
]),
(2. / (9*t_phi))**0.5 * np.array([
[1, 0, 0],
[0, -1, 0],
[0, 0, 0]
]),
(2. / (9*t_phi))**0.5 * np.array([
[0, 0, 0],
[0, 1, 0],
[0, 0, -1]
])
]
if not np.allclose(anharmonicity, 0.):
ham = np.array([
[0., 0., 0.],
[0., 0., 0.],
[0., 0., anharmonicity],
])
else:
ham = None
return Operation.from_lindblad_form(
duration, bases.general(3),
hamiltonian=ham,
lindblad_ops=[op_t1, *ops_t2])
def amp_phase_damping(damp_rate, deph_rate):
amp_damp = amp_damping(damp_rate)
phase_damp = phase_damping(deph_rate)
return Operation.from_sequence(amp_damp.at(0), phase_damp.at(0))
def phase_shift(angle=np.pi):
matrix = np.diag([1, np.exp(1j * angle)])
return Operation.from_kraus(matrix, 2)
def cnot():
matrix = np.array([[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 0, 1],
[0, 0, 1, 0]])
return Operation.from_kraus(matrix, 2)
def bit_phase_flipping(flip_rate):
matrix = np.array([np.sqrt(flip_rate) * _PAULI["I"],
np.sqrt(1 - flip_rate) * _PAULI["Y"]])
return Operation.from_kraus(matrix, 2)
def phase_flipping(flip_rate):
# This is actually equivalent to the phase damping
matrix = np.array([np.sqrt(flip_rate) * _PAULI["I"],
np.sqrt(1 - flip_rate) * _PAULI["Z"]])
return Operation.from_kraus(matrix, 2)
