def test_prob_hess(self, method):
"""Test the probability Hessian using linear combination of unitaries method
d^2p0/da^2 = - sin(a)sin(b) / 2
d^2p1/da^2 = sin(a)sin(b) / 2
d^2p0/dadb = cos(a)cos(b) / 2
d^2p1/dadb = - cos(a)cos(b) / 2
"""
a = Parameter("a")
b = Parameter("b")
params = [(a, a), (a, b)]
q = QuantumRegister(1)
qc = QuantumCircuit(q)
qc.h(q)
qc.rz(a, q[0])
qc.rx(b, q[0])
op = CircuitStateFn(primitive=qc, coeff=1.0)
prob_hess = Hessian(hess_method=method).convert(operator=op,
params=params)
values_dict = [{
a: np.pi / 4,
b: 0
}, {
a: np.pi / 4,
b: np.pi / 4
}, {
a: np.pi / 2,
b: np.pi
}]
correct_values = [
[[0, 0], [1 / (2 * np.sqrt(2)), -1 / (2 * np.sqrt(2))]],
[[-1 / 4, 1 / 4], [1 / 4, -1 / 4]],
[[0, 0], [0, 0]],
]
for i, value_dict in enumerate(values_dict):
for j, prob_hess_result in enumerate(
prob_hess.assign_parameters(value_dict).eval()):
np.testing.assert_array_almost_equal(prob_hess_result,
correct_values[i][j],
decimal=1)
def test_state_hessian(self, method):
"""Test the state Hessian
Tr(|psi><psi|Z) = sin(a)sin(b)
Tr(|psi><psi|X) = cos(a)
d^2<H>/da^2 = - 0.5 cos(a) + 1 sin(a)sin(b)
d^2<H>/dbda = - 1 cos(a)cos(b)
d^2<H>/dbda = - 1 cos(a)cos(b)
d^2<H>/db^2 = + 1 sin(a)sin(b)
"""
ham = 0.5 * X - 1 * Z
params = ParameterVector("a", 2)
q = QuantumRegister(1)
qc = QuantumCircuit(q)
qc.h(q)
qc.rz(params[0], q[0])
qc.rx(params[1], q[0])
op = ~StateFn(ham) @ CircuitStateFn(primitive=qc, coeff=1.0)
state_hess = Hessian(hess_method=method).convert(operator=op)
values_dict = [
{
params[0]: np.pi / 4,
params[1]: np.pi
},
{
params[0]: np.pi / 4,
params[1]: np.pi / 4
},
]
correct_values = [
[[-0.5 / np.sqrt(2), 1 / np.sqrt(2)], [1 / np.sqrt(2), 0]],
[[-0.5 / np.sqrt(2) + 0.5, -1 / 2.0], [-1 / 2.0, 0.5]],
]
for i, value_dict in enumerate(values_dict):
np.testing.assert_array_almost_equal(
state_hess.assign_parameters(value_dict).eval(),
correct_values[i],
decimal=1)
def test_state_hessian_custom_combo_fn(self, method):
"""Test the state Hessian with on an operator which includes
a user-defined combo_fn.
Tr(|psi><psi|Z) = sin(a)sin(b)
Tr(|psi><psi|X) = cos(a)
d^2<H>/da^2 = - 0.5 cos(a) + 1 sin(a)sin(b)
d^2<H>/dbda = - 1 cos(a)cos(b)
d^2<H>/dbda = - 1 cos(a)cos(b)
d^2<H>/db^2 = + 1 sin(a)sin(b)
"""
ham = 0.5 * X - 1 * Z
a = Parameter('a')
b = Parameter('b')
params = [(a, a), (a, b), (b, b)]
q = QuantumRegister(1)
qc = QuantumCircuit(q)
qc.h(q)
qc.rz(a, q[0])
qc.rx(b, q[0])
op = ListOp([~StateFn(ham) @ CircuitStateFn(primitive=qc, coeff=1.)],
combo_fn=lambda x: x[0] ** 3 + 4 * x[0])
state_hess = Hessian(hess_method=method).convert(operator=op, params=params)
values_dict = [{a: np.pi / 4, b: np.pi},
{a: np.pi / 4, b: np.pi / 4},
{a: np.pi / 2, b: np.pi / 4}]
correct_values = [[-1.28163104, 2.56326208, 1.06066017],
[-0.04495626, -2.40716991, 1.8125],
[2.82842712, -1.5, 1.76776695]]
for i, value_dict in enumerate(values_dict):
np.testing.assert_array_almost_equal(state_hess.assign_parameters(value_dict).eval(),
correct_values[i], decimal=1)
def test_operator_coefficient_hessian(self, method):
"""Test the operator coefficient hessian
<Z> = Tr( | psi > < psi | Z) = sin(a)sin(b)
<X> = Tr( | psi > < psi | X) = cos(a)
d<H>/dc_0 = 2 * c_0 * <X> + c_1 * <Z>
d<H>/dc_1 = c_0 * <Z>
d^2<H>/dc_0^2 = 2 * <X>
d^2<H>/dc_0dc_1 = <Z>
d^2<H>/dc_1dc_0 = <Z>
d^2<H>/dc_1^2 = 0
"""
a = Parameter("a")
b = Parameter("b")
q = QuantumRegister(1)
qc = QuantumCircuit(q)
qc.h(q)
qc.rz(a, q[0])
qc.rx(b, q[0])
coeff_0 = Parameter("c_0")
coeff_1 = Parameter("c_1")
ham = coeff_0 * coeff_0 * X + coeff_1 * coeff_0 * Z
op = StateFn(ham, is_measurement=True) @ CircuitStateFn(primitive=qc, coeff=1.0)
gradient_coeffs = [(coeff_0, coeff_0), (coeff_0, coeff_1), (coeff_1, coeff_1)]
coeff_grad = Hessian(hess_method=method).convert(op, gradient_coeffs)
values_dict = [
{coeff_0: 0.5, coeff_1: -1, a: np.pi / 4, b: np.pi},
{coeff_0: 0.5, coeff_1: -1, a: np.pi / 4, b: np.pi / 4},
]
correct_values = [[2 / np.sqrt(2), 0, 0], [2 / np.sqrt(2), 1 / 2, 0]]
for i, value_dict in enumerate(values_dict):
np.testing.assert_array_almost_equal(
coeff_grad.assign_parameters(value_dict).eval(), correct_values[i], decimal=1
)
