def circuit():
"""A combination of two and three qubit gates with the one_qubit_block and a simple
PauliZ measurement applied to an input basis state"""
qml.BasisState(np.array(basis_state), wires=[0, 1, 2])
qml.RX(0.5, wires=0)
qml.Hadamard(wires=1)
qml.RY(0.9, wires=2)
qml.CNOT(wires=[0, 1])
qml.CNOT(wires=[2, 0])
qml.CZ(wires=[1, 0])
one_qubit_block(wires=0)
qml.Toffoli(wires=[1, 0, 2])
one_qubit_block(wires=2)
qml.SWAP(wires=[0, 1])
qml.SWAP(wires=[0, 2])
qml.CRX(0.5, wires=[1, 0])
qml.CSWAP(wires=[2, 1, 0])
qml.CRY(0.9, wires=[2, 1])
one_qubit_block(wires=1)
qml.CRZ(0.02, wires=[0, 1])
qml.CRot(0.2, 0.3, 0.7, wires=[2, 1])
qml.RZ(0.4, wires=0)
qml.Toffoli(wires=[2, 1, 0])
return qml.expval(qml.PauliZ(0))
class TestDrawableLayers:
"""Tests for `drawable_layers`"""
def test_single_wires_no_blocking(self):
"""Test simple case where nothing blocks each other"""
ops = [qml.PauliX(0), qml.PauliX(1), qml.PauliX(2)]
layers = drawable_layers(ops)
assert layers == [set(ops)]
def test_single_wires_blocking(self):
"""Test single wire gates blocking each other"""
ops = [qml.PauliX(0), qml.PauliX(0), qml.PauliX(0)]
layers = drawable_layers(ops)
assert layers == [{ops[0]}, {ops[1]}, {ops[2]}]
@pytest.mark.parametrize(
"multiwire_gate",
(
qml.CNOT(wires=(0, 2)),
qml.CNOT(wires=(2, 0)),
qml.Toffoli(wires=(0, 2, 3)),
qml.Toffoli(wires=(2, 3, 0)),
qml.Toffoli(wires=(3, 0, 2)),
qml.Toffoli(wires=(0, 3, 2)),
qml.Toffoli(wires=(3, 2, 0)),
qml.Toffoli(wires=(2, 0, 3)),
),
)
def test_multiwire_blocking(self, multiwire_gate):
"""Test multi-wire gate blocks on unused wire"""
wire_map = {0: 0, 1: 1, 2: 2, 3: 3}
ops = [qml.PauliZ(1), multiwire_gate, qml.PauliX(1)]
layers = drawable_layers(ops, wire_map=wire_map)
assert layers == [{ops[0]}, {ops[1]}, {ops[2]}]
@pytest.mark.parametrize("measurement", (qml.state(), qml.sample()))
def test_all_wires_measurement(self, measurement):
"""Test measurements that act on all wires also block on all available wires."""
ops = [qml.PauliX(0), measurement, qml.PauliY(1)]
layers = drawable_layers(ops)
assert layers == [{ops[0]}, {ops[1]}, {ops[2]}]
def test_four_qubit_random_circuit(self, shots):
"""Test a four-qubit random circuit with the whole set of possible gates,
the test is analog to a failing device test and is used to check the try/except
expval function from the mixed_simulator device."""
dev = qml.device("cirq.mixedsimulator", wires=4)
gates = [
qml.PauliX(wires=0),
qml.PauliY(wires=1),
qml.PauliZ(wires=2),
qml.S(wires=3),
qml.T(wires=0),
qml.RX(2.3, wires=1),
qml.RY(1.3, wires=2),
qml.RZ(3.3, wires=3),
qml.Hadamard(wires=0),
qml.Rot(0.1, 0.2, 0.3, wires=1),
qml.CRot(0.1, 0.2, 0.3, wires=[2, 3]),
qml.Toffoli(wires=[0, 1, 2]),
qml.SWAP(wires=[1, 2]),
qml.CSWAP(wires=[1, 2, 3]),
qml.U1(1.0, wires=0),
qml.U2(1.0, 2.0, wires=2),
qml.U3(1.0, 2.0, 3.0, wires=3),
qml.CRX(0.1, wires=[1, 2]),
qml.CRY(0.2, wires=[2, 3]),
qml.CRZ(0.3, wires=[3, 1]),
]
layers = 3
np.random.seed(1967)
gates_per_layers = [pnp.random.permutation(gates).numpy() for _ in range(layers)]
def circuit():
"""4-qubit circuit with layers of randomly selected gates and random connections for
multi-qubit gates."""
np.random.seed(1967)
for gates in gates_per_layers:
for gate in gates:
qml.apply(gate)
return qml.expval(qml.PauliZ(0))
qnode = qml.QNode(circuit, dev)
assert np.allclose(qnode(), 0.0)
def parameterized_qubit_tape():
"""A parametrized qubit ciruit."""
a, b, c = 0.1, 0.2, 0.3
angles = np.array([0.4, 0.5, 0.6])
with qml.tape.QuantumTape() as tape:
qml.RX(a, wires=0)
qml.RX(b, wires=1)
qml.PauliZ(1)
qml.CNOT(wires=[0, 1]).inv()
qml.CRY(b, wires=[3, 1])
qml.RX(angles[0], wires=0)
qml.RX(4 * angles[1], wires=1)
qml.PhaseShift(17 / 9 * c, wires=2)
qml.RZ(b, wires=3)
qml.RX(angles[2], wires=2).inv()
qml.CRY(0.3589, wires=[3, 1]).inv()
qml.CSWAP(wires=[4, 2, 1]).inv()
qml.QubitUnitary(np.eye(2), wires=[2])
qml.ControlledQubitUnitary(np.eye(2), control_wires=[0, 1], wires=[2])
qml.MultiControlledX(control_wires=[0, 1, 2], wires=[3])
qml.Toffoli(wires=[0, 2, 1])
qml.CNOT(wires=[0, 2])
qml.PauliZ(wires=[1])
qml.PauliZ(wires=[1]).inv()
qml.CZ(wires=[0, 1])
qml.CZ(wires=[0, 2]).inv()
qml.CY(wires=[1, 2])
qml.CY(wires=[2, 0]).inv()
qml.CNOT(wires=[2, 1])
qml.CNOT(wires=[0, 2])
qml.SWAP(wires=[0, 2]).inv()
qml.CNOT(wires=[1, 3])
qml.RZ(b, wires=3)
qml.CSWAP(wires=[4, 0, 1])
qml.expval(qml.PauliY(0)),
qml.var(qml.Hadamard(wires=1)),
qml.sample(qml.PauliX(2)),
qml.expval(qml.Hermitian(np.eye(4), wires=[3, 4])),
return tape
def test_Toffoli(self):
"""Test Toffoli gets a special call."""
with QuantumTape() as tape:
qml.Toffoli(wires=(0, 1, 2))
_, ax = tape_mpl(tape)
layer = 0
assert len(ax.patches) == 3
assert ax.patches[0].center == (layer, 0)
assert ax.patches[1].center == (layer, 1)
assert ax.patches[2].center == (layer, 2)
# three wires, one control line, two target lines
assert len(ax.lines) == 6
control_line = ax.lines[3]
assert control_line.get_data() == ((layer, layer), (0, 2))
plt.close()
def circuit(self, a, b):
aBasis = i_to_basis(a, pad=self.reg_a_size)
bBasis = i_to_basis(b, pad=self.reg_a_size)
zeros = [0] * (self.reg_b_size - self.reg_a_size)
ancilla = [0] * (self.ancilla_size)
qml.BasisState(np.array(aBasis + zeros + bBasis + ancilla),
wires=range(self.reg_a_size + self.reg_b_size +
self.ancilla_size))
for g in self.gateSet:
if len(g) == 1:
qml.PauliX(g[0])
if len(g) == 2:
qml.CNOT(wires=list(g))
if len(g) == 3:
qml.Toffoli(wires=list(g))
return [
qml.expval(qml.PauliZ(i))
for i in range(self.reg_a_size + self.reg_b_size)
]
def test_unitary_to_rot_too_big_unitary(self):
"""Test that the transform ignores QubitUnitary instances that are too big
to decompose."""
tof = qml.Toffoli(wires=[0, 1, 2]).matrix
def qfunc():
qml.QubitUnitary(H, wires="a")
qml.QubitUnitary(tof, wires=["a", "b", "c"])
transformed_qfunc = unitary_to_rot(qfunc)
ops = qml.transforms.make_tape(transformed_qfunc)().operations
assert len(ops) == 2
assert ops[0].name == "Rot"
assert ops[0].wires == Wires("a")
assert ops[1].name == "QubitUnitary"
assert ops[1].wires == Wires(["a", "b", "c"])
def test_ctrl_within_ctrl():
"""Test using ctrl on a method that uses ctrl."""
def ansatz(params):
qml.RX(params[0], wires=0)
ctrl(qml.PauliX, control=0)(wires=1)
qml.RX(params[1], wires=0)
controlled_ansatz = ctrl(ansatz, 2)
with QuantumTape() as tape:
controlled_ansatz([0.123, 0.456])
tape = expand_tape(
tape, 2, stop_at=lambda op: not isinstance(op, ControlledOperation))
expected = [
qml.CRX(0.123, wires=[2, 0]),
qml.Toffoli(wires=[0, 2, 1]),
qml.CRX(0.456, wires=[2, 0])
]
assert_equal_operations(tape.operations, expected)
def test_integration():
gates = [
qml.PauliX(wires=0),
qml.PauliY(wires=0),
qml.PauliZ(wires=0),
qml.S(wires=0),
qml.T(wires=0),
qml.RX(0.4, wires=0),
qml.RY(0.4, wires=0),
qml.RZ(0.4, wires=0),
qml.Hadamard(wires=0),
qml.Rot(0.4, 0.5, 0.6, wires=1),
qml.CRot(0.4, 0.5, 0.6, wires=(0, 1)),
qml.Toffoli(wires=(0, 1, 2)),
qml.SWAP(wires=(0, 1)),
qml.CSWAP(wires=(0, 1, 2)),
qml.U1(0.4, wires=0),
qml.U2(0.4, 0.5, wires=0),
qml.U3(0.4, 0.5, 0.6, wires=0),
qml.CRX(0.4, wires=(0, 1)),
qml.CRY(0.4, wires=(0, 1)),
qml.CRZ(0.4, wires=(0, 1)),
]
layers = 3
np.random.seed(1967)
gates_per_layers = [np.random.permutation(gates) for _ in range(layers)]
with qml.tape.QuantumTape() as tape:
np.random.seed(1967)
for gates in gates_per_layers:
for gate in gates:
qml.apply(gate)
base_circ = from_pennylane(tape)
tape_recovered = to_pennylane(base_circ)
circ_recovered = from_pennylane(tape_recovered)
u_1 = cirq.unitary(base_circ)
u_2 = cirq.unitary(circ_recovered)
cirq.testing.assert_allclose_up_to_global_phase(u_1, u_2, atol=0)
def test_toffoli_decomposition(self, tol):
"""Tests that the decomposition of the Toffoli gate is correct"""
op = qml.Toffoli(wires=[0, 1, 2])
res = op.decompose()
assert len(res) == 15
mats = []
for i in reversed(res):
if i.wires == Wires([2]):
mats.append(np.kron(np.eye(4), i.matrix))
elif i.wires == Wires([1]):
mats.append(np.kron(np.eye(2), np.kron(i.matrix, np.eye(2))))
elif i.wires == Wires([0]):
mats.append(np.kron(i.matrix, np.eye(4)))
elif i.wires == Wires([0, 1]) and i.name == "CNOT":
mats.append(np.kron(i.matrix, np.eye(2)))
elif i.wires == Wires([1, 2]) and i.name == "CNOT":
mats.append(np.kron(np.eye(2), i.matrix))
elif i.wires == Wires([0, 2]) and i.name == "CNOT":
mats.append(
np.array(
[
[1, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1],
[0, 0, 0, 0, 0, 0, 1, 0],
]
)
)
decomposed_matrix = np.linalg.multi_dot(mats)
assert np.allclose(decomposed_matrix, op.matrix, atol=tol, rtol=0)
def decomposition(self, *args, **kwargs):
if len(self.control_wires) > 2 and len(self._work_wires) == 0:
raise ValueError(
f"At least one work wire is required to decompose operation: {self}"
)
flips1 = [
qml.PauliX(self.control_wires[i])
for i, val in enumerate(self.control_values) if val == "0"
]
if len(self.control_wires) == 1:
decomp = [
qml.CNOT(wires=[self.control_wires[0], self._target_wire])
]
elif len(self.control_wires) == 2:
decomp = [
qml.Toffoli(wires=[*self.control_wires, self._target_wire])
]
else:
num_work_wires_needed = len(self.control_wires) - 2
if len(self._work_wires) >= num_work_wires_needed:
decomp = self._decomposition_with_many_workers(
self.control_wires, self._target_wire, self._work_wires)
else:
work_wire = self._work_wires[0]
decomp = self._decomposition_with_one_worker(
self.control_wires, self._target_wire, work_wire)
flips2 = [
qml.PauliX(self.control_wires[i])
for i, val in enumerate(self.control_values) if val == "0"
]
return flips1 + decomp + flips2
def _decomposition_with_many_workers(control_wires, target_wire,
work_wires):
"""Decomposes the multi-controlled PauliX gate using the approach in Lemma 7.2 of
https://arxiv.org/pdf/quant-ph/9503016.pdf, which requires a suitably large register of
work wires"""
num_work_wires_needed = len(control_wires) - 2
work_wires = work_wires[:num_work_wires_needed]
work_wires_reversed = list(reversed(work_wires))
control_wires_reversed = list(reversed(control_wires))
gates = []
for i in range(len(work_wires)):
ctrl1 = control_wires_reversed[i]
ctrl2 = work_wires_reversed[i]
t = target_wire if i == 0 else work_wires_reversed[i - 1]
gates.append(qml.Toffoli(wires=[ctrl1, ctrl2, t]))
gates.append(qml.Toffoli(wires=[*control_wires[:2], work_wires[0]]))
for i in reversed(range(len(work_wires))):
ctrl1 = control_wires_reversed[i]
ctrl2 = work_wires_reversed[i]
t = target_wire if i == 0 else work_wires_reversed[i - 1]
gates.append(qml.Toffoli(wires=[ctrl1, ctrl2, t]))
for i in range(len(work_wires) - 1):
ctrl1 = control_wires_reversed[i + 1]
ctrl2 = work_wires_reversed[i + 1]
t = work_wires_reversed[i]
gates.append(qml.Toffoli(wires=[ctrl1, ctrl2, t]))
gates.append(qml.Toffoli(wires=[*control_wires[:2], work_wires[0]]))
for i in reversed(range(len(work_wires) - 1)):
ctrl1 = control_wires_reversed[i + 1]
ctrl2 = work_wires_reversed[i + 1]
t = work_wires_reversed[i]
gates.append(qml.Toffoli(wires=[ctrl1, ctrl2, t]))
return gates
class TestCircuitDrawer:
"""Test the CircuitDrawer class."""
def test_resolve_representation(self, dummy_circuit_drawer):
"""Test that resolve_representation calls the representation resolver with the proper arguments."""
dummy_circuit_drawer.representation_resolver.element_representation = Mock(
return_value="Test"
)
dummy_circuit_drawer.resolve_representation(Grid(dummy_raw_operation_grid), Grid())
args_tuples = [
call[0]
for call in dummy_circuit_drawer.representation_resolver.element_representation.call_args_list
]
for idx, wire in enumerate(dummy_raw_operation_grid):
for op in wire:
assert (op, idx) in args_tuples
interlocking_multiwire_gate_grid = to_grid(
[[qml.CNOT(wires=[0, 4]), qml.CNOT(wires=[1, 5]), qml.Toffoli(wires=[2, 3, 6])]], 7
)
interlocking_multiwire_gate_representation_grid = Grid(
[
["╭", "", ""],
["│", "╭", ""],
["│", "│", "╭"],
["│", "│", "├"],
["╰", "│", "│"],
["", "╰", "│"],
["", "", "╰"],
]
)
multiwire_and_single_wire_gate_grid = to_grid(
[[qml.Toffoli(wires=[0, 3, 4]), qml.PauliX(wires=[1]), qml.Hadamard(wires=[2])]], 5
)
multiwire_and_single_wire_gate_representation_grid = Grid([["╭"], ["│"], ["│"], ["├"], ["╰"]])
all_wire_state_preparation_grid = to_grid(
[[qml.BasisState(np.array([0, 1, 0, 0, 1, 1]), wires=[0, 1, 2, 3, 4, 5])]], 6
)
all_wire_state_preparation_representation_grid = Grid(
[["╭"], ["├"], ["├"], ["├"], ["├"], ["╰"]]
)
multiwire_gate_grid = to_grid(
[[qml.CNOT(wires=[0, 1]), qml.PauliX(2), qml.CNOT(wires=[3, 4])]], 5
)
multiwire_gate_representation_grid = Grid(
[
["╭"],
["╰"],
[""],
["╭"],
["╰"],
]
)
multi_and_single_wire_gate_grid = to_grid(
[
[
qml.CNOT(wires=[0, 1]),
qml.PauliX(2),
qml.PauliX(4),
qml.CNOT(wires=[3, 5]),
qml.Hadamard(6),
]
],
7,
)
multi_and_single_wire_gate_representation_grid = Grid(
[
["╭"],
["╰"],
[""],
["╭"],
["│"],
["╰"],
[""],
]
)
@pytest.mark.parametrize(
"grid,target_representation_grid",
[
(interlocking_multiwire_gate_grid, interlocking_multiwire_gate_representation_grid),
(
multiwire_and_single_wire_gate_grid,
multiwire_and_single_wire_gate_representation_grid,
),
(all_wire_state_preparation_grid, all_wire_state_preparation_representation_grid),
(multiwire_gate_grid, multiwire_gate_representation_grid),
(multi_and_single_wire_gate_grid, multi_and_single_wire_gate_representation_grid),
],
)
def test_resolve_decorations(self, grid, target_representation_grid):
"""Test that decorations are properly resolved."""
representation_grid = Grid()
raw_operator_grid = grid.raw_grid
# make a dummy observable grid
raw_observable_grid = [[None] for _ in range(len(raw_operator_grid))]
drawer = CircuitDrawer(raw_operator_grid, raw_observable_grid, Wires(range(10)))
drawer.resolve_decorations(grid, representation_grid)
assert_nested_lists_equal(representation_grid.raw_grid, target_representation_grid.raw_grid)
CNOT04 = qml.CNOT(wires=[0, 4])
CNOT15 = qml.CNOT(wires=[1, 5])
Toffoli236 = qml.Toffoli(wires=[2, 3, 6])
interlocking_CNOT_grid = to_grid([[CNOT04, CNOT15, Toffoli236]], 7)
moved_interlocking_CNOT_grid = to_grid([[Toffoli236], [CNOT15], [CNOT04]], 7)
SWAP02 = qml.SWAP(wires=[0, 2])
SWAP35 = qml.SWAP(wires=[3, 5])
SWAP14 = qml.SWAP(wires=[1, 4])
SWAP24 = qml.SWAP(wires=[2, 4])
interlocking_SWAP_grid = to_grid([[SWAP02, SWAP35, SWAP14], [SWAP24]], 6)
moved_interlocking_SWAP_grid = to_grid([[SWAP35], [SWAP14], [SWAP02], [SWAP24]], 6)
@pytest.mark.parametrize(
"grid,target_grid",
[
(interlocking_CNOT_grid, moved_interlocking_CNOT_grid),
(interlocking_SWAP_grid, moved_interlocking_SWAP_grid),
],
)
def test_move_multi_wire_gates(self, grid, target_grid):
"""Test that decorations are properly resolved."""
operator_grid = grid.copy()
raw_operator_grid = operator_grid.raw_grid
# make a dummy observable grid
raw_observable_grid = [[None] for _ in range(len(raw_operator_grid))]
drawer = CircuitDrawer(raw_operator_grid, raw_observable_grid, Wires(range(10)))
drawer.move_multi_wire_gates(operator_grid)
assert_nested_lists_equal(operator_grid.raw_grid, target_grid.raw_grid)
def test_matrix(self):
"""Test if ControlledQubitUnitary returns the correct matrix for a control-control-X
(Toffoli) gate"""
mat = qml.ControlledQubitUnitary(X, control_wires=[0, 1], wires=2).matrix
mat2 = qml.Toffoli(wires=[0, 1, 2]).matrix
assert np.allclose(mat, mat2)
def test_qubit_unitary_decomposition_multiqubit_invalid(self):
"""Test that QubitUnitary is not decomposed for more than two qubits."""
U = qml.Toffoli(wires=[0, 1, 2]).matrix
with pytest.raises(NotImplementedError, match="only supported for single- and two-qubit"):
qml.QubitUnitary.decomposition(U, wires=[0, 1, 2])
def qfunc():
qml.PauliX(0)
qml.PauliX(5)
qml.Toffoli(wires=[5, 1, 0])
return state()
import pytest
import pennylane as qml
from pennylane.transforms.optimization.optimization_utils import (
find_next_gate,
_yzy_to_zyz,
fuse_rot_angles,
)
from utils import check_matrix_equivalence
from pennylane.transforms.get_unitary_matrix import get_unitary_matrix
sample_op_list = [
qml.Hadamard(wires="a"),
qml.CNOT(wires=["a", "b"]),
qml.Toffoli(wires=[0, 1, "b"]),
qml.Hadamard(wires="c"),
]
class TestFindNextGate:
@pytest.mark.parametrize(
("wires,op_list,next_gate_idx"),
[
("a", sample_op_list, 0),
("b", sample_op_list, 1),
("e", sample_op_list, None),
([0, 2], sample_op_list, 2),
([0, 1], sample_op_list, 2),
("c", sample_op_list, 3),
],
def qfunc():
qml.PauliX(wires="a")
qml.CNOT(wires=["a", "c"])
qml.RX(0.2, wires="a")
qml.Toffoli(wires=["c", "a", "b"])
class TestQVMBasic(BaseTest):
"""Unit tests for the QVM simulator."""
# pylint: disable=protected-access
def test_identity_expectation(self, shots, qvm, compiler):
"""Test that identity expectation value (i.e. the trace) is 1"""
theta = 0.432
phi = 0.123
dev = plf.QVMDevice(device="2q-qvm", shots=shots)
with qml.tape.QuantumTape() as tape:
qml.RX(theta, wires=[0])
qml.RX(phi, wires=[1])
qml.CNOT(wires=[0, 1])
O1 = qml.expval(qml.Identity(wires=[0]))
O2 = qml.expval(qml.Identity(wires=[1]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
res = np.array([dev.expval(O1.obs), dev.expval(O2.obs)])
# below are the analytic expectation values for this circuit (trace should always be 1)
self.assertAllAlmostEqual(res,
np.array([1, 1]),
delta=3 / np.sqrt(shots))
def test_pauliz_expectation(self, shots, qvm, compiler):
"""Test that PauliZ expectation value is correct"""
theta = 0.432
phi = 0.123
dev = plf.QVMDevice(device="2q-qvm", shots=shots)
with qml.tape.QuantumTape() as tape:
qml.RX(theta, wires=[0])
qml.RX(phi, wires=[1])
qml.CNOT(wires=[0, 1])
O1 = qml.expval(qml.PauliZ(wires=[0]))
O2 = qml.expval(qml.PauliZ(wires=[1]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
res = np.array([dev.expval(O1.obs), dev.expval(O2.obs)])
# below are the analytic expectation values for this circuit
self.assertAllAlmostEqual(
res,
np.array([np.cos(theta),
np.cos(theta) * np.cos(phi)]),
delta=3 / np.sqrt(shots))
def test_paulix_expectation(self, shots, qvm, compiler):
"""Test that PauliX expectation value is correct"""
theta = 0.432
phi = 0.123
dev = plf.QVMDevice(device="2q-qvm", shots=shots)
with qml.tape.QuantumTape() as tape:
qml.RY(theta, wires=[0])
qml.RY(phi, wires=[1])
qml.CNOT(wires=[0, 1])
O1 = qml.expval(qml.PauliX(wires=[0]))
O2 = qml.expval(qml.PauliX(wires=[1]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
res = np.array([dev.expval(O1.obs), dev.expval(O2.obs)])
# below are the analytic expectation values for this circuit
self.assertAllAlmostEqual(
res,
np.array([np.sin(theta) * np.sin(phi),
np.sin(phi)]),
delta=3 / np.sqrt(shots))
def test_pauliy_expectation(self, shots, qvm, compiler):
"""Test that PauliY expectation value is correct"""
theta = 0.432
phi = 0.123
dev = plf.QVMDevice(device="2q-qvm", shots=shots)
with qml.tape.QuantumTape() as tape:
qml.RX(theta, wires=[0])
qml.RX(phi, wires=[1])
qml.CNOT(wires=[0, 1])
O1 = qml.expval(qml.PauliY(wires=[0]))
O2 = qml.expval(qml.PauliY(wires=[1]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
res = np.array([dev.expval(O1.obs), dev.expval(O2.obs)])
# below are the analytic expectation values for this circuit
self.assertAllAlmostEqual(res,
np.array([0, -np.cos(theta) * np.sin(phi)]),
delta=3 / np.sqrt(shots))
def test_hadamard_expectation(self, shots, qvm, compiler):
"""Test that Hadamard expectation value is correct"""
theta = 0.432
phi = 0.123
dev = plf.QVMDevice(device="2q-qvm", shots=shots)
with qml.tape.QuantumTape() as tape:
qml.RY(theta, wires=[0])
qml.RY(phi, wires=[1])
qml.CNOT(wires=[0, 1])
O1 = qml.expval(qml.Hadamard(wires=[0]))
O2 = qml.expval(qml.Hadamard(wires=[1]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
res = np.array([dev.expval(O1.obs), dev.expval(O2.obs)])
# below are the analytic expectation values for this circuit
expected = np.array([
np.sin(theta) * np.sin(phi) + np.cos(theta),
np.cos(theta) * np.cos(phi) + np.sin(phi)
]) / np.sqrt(2)
self.assertAllAlmostEqual(res, expected, delta=3 / np.sqrt(shots))
@flaky(max_runs=10, min_passes=3)
def test_hermitian_expectation(self, shots, qvm, compiler):
"""Test that arbitrary Hermitian expectation values are correct.
As the results coming from the qvm are stochastic, a constraint of 3 out of 5 runs was added.
"""
theta = 0.432
phi = 0.123
dev = plf.QVMDevice(device="2q-qvm", shots=shots)
with qml.tape.QuantumTape() as tape:
qml.RY(theta, wires=[0])
qml.RY(phi, wires=[1])
qml.CNOT(wires=[0, 1])
O1 = qml.expval(qml.Hermitian(H, wires=[0]))
O2 = qml.expval(qml.Hermitian(H, wires=[1]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
res = np.array([dev.expval(O1.obs), dev.expval(O2.obs)])
# below are the analytic expectation values for this circuit with arbitrary
# Hermitian observable H
a = H[0, 0]
re_b = H[0, 1].real
d = H[1, 1]
ev1 = ((a - d) * np.cos(theta) +
2 * re_b * np.sin(theta) * np.sin(phi) + a + d) / 2
ev2 = ((a - d) * np.cos(theta) * np.cos(phi) + 2 * re_b * np.sin(phi) +
a + d) / 2
expected = np.array([ev1, ev2])
self.assertAllAlmostEqual(res, expected, delta=4 / np.sqrt(shots))
def test_multi_qubit_hermitian_expectation(self, shots, qvm, compiler):
"""Test that arbitrary multi-qubit Hermitian expectation values are correct"""
theta = 0.432
phi = 0.123
A = np.array([
[-6, 2 + 1j, -3, -5 + 2j],
[2 - 1j, 0, 2 - 1j, -5 + 4j],
[-3, 2 + 1j, 0, -4 + 3j],
[-5 - 2j, -5 - 4j, -4 - 3j, -6],
])
dev = plf.QVMDevice(device="2q-qvm", shots=10 * shots)
with qml.tape.QuantumTape() as tape:
qml.RY(theta, wires=[0])
qml.RY(phi, wires=[1])
qml.CNOT(wires=[0, 1])
O1 = qml.expval(qml.Hermitian(A, wires=[0, 1]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
res = np.array([dev.expval(O1.obs)])
# below is the analytic expectation value for this circuit with arbitrary
# Hermitian observable A
expected = 0.5 * (6 * np.cos(theta) * np.sin(phi) - np.sin(theta) *
(8 * np.sin(phi) + 7 * np.cos(phi) + 3) -
2 * np.sin(phi) - 6 * np.cos(phi) - 6)
self.assertAllAlmostEqual(res, expected, delta=5 / np.sqrt(shots))
def test_var(self, shots, qvm, compiler):
"""Tests for variance calculation"""
dev = plf.QVMDevice(device="2q-qvm", shots=shots)
phi = 0.543
theta = 0.6543
with qml.tape.QuantumTape() as tape:
qml.RX(phi, wires=[0])
qml.RY(theta, wires=[0])
O1 = qml.var(qml.PauliZ(wires=[0]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
var = np.array([dev.var(O1.obs)])
expected = 0.25 * (3 - np.cos(2 * theta) -
2 * np.cos(theta)**2 * np.cos(2 * phi))
self.assertAlmostEqual(var, expected, delta=3 / np.sqrt(shots))
def test_var_hermitian(self, shots, qvm, compiler):
"""Tests for variance calculation using an arbitrary Hermitian observable"""
dev = plf.QVMDevice(device="2q-qvm", shots=100 * shots)
phi = 0.543
theta = 0.6543
A = np.array([[4, -1 + 6j], [-1 - 6j, 2]])
with qml.tape.QuantumTape() as tape:
qml.RX(phi, wires=[0])
qml.RY(theta, wires=[0])
O1 = qml.var(qml.Hermitian(A, wires=[0]))
# test correct variance for <A> of a rotated state
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
var = np.array([dev.var(O1.obs)])
expected = 0.5 * (2 * np.sin(2 * theta) * np.cos(phi)**2 +
24 * np.sin(phi) * np.cos(phi) *
(np.sin(theta) - np.cos(theta)) +
35 * np.cos(2 * phi) + 39)
self.assertAlmostEqual(var, expected, delta=0.3)
@pytest.mark.parametrize(
"op",
[
qml.QubitUnitary(np.array(U), wires=0),
qml.BasisState(np.array([1, 1, 1]), wires=list(range(3))),
qml.PauliX(wires=0),
qml.PauliY(wires=0),
qml.PauliZ(wires=0),
qml.S(wires=0),
qml.T(wires=0),
qml.RX(0.432, wires=0),
qml.RY(0.432, wires=0),
qml.RZ(0.432, wires=0),
qml.Hadamard(wires=0),
qml.Rot(0.432, 2, 0.324, wires=0),
qml.Toffoli(wires=[0, 1, 2]),
qml.SWAP(wires=[0, 1]),
qml.CSWAP(wires=[0, 1, 2]),
qml.CZ(wires=[0, 1]),
qml.CNOT(wires=[0, 1]),
qml.PhaseShift(0.432, wires=0),
qml.CSWAP(wires=[0, 1, 2]),
plf.CPHASE(0.432, 2, wires=[0, 1]),
plf.ISWAP(wires=[0, 1]),
plf.PSWAP(0.432, wires=[0, 1]),
],
)
def test_apply(self, op, apply_unitary, shots, qvm, compiler):
"""Test the application of gates to a state"""
dev = plf.QVMDevice(device="3q-qvm",
shots=shots,
parametric_compilation=False)
obs = qml.expval(qml.PauliZ(0))
if op.name == "QubitUnitary":
state = apply_unitary(U, 3)
elif op.name == "BasisState":
state = np.array([0, 0, 0, 0, 0, 0, 0, 1])
elif op.name == "CPHASE":
state = apply_unitary(test_operation_map["CPHASE"](0.432, 2), 3)
elif op.name == "ISWAP":
state = apply_unitary(test_operation_map["ISWAP"], 3)
elif op.name == "PSWAP":
state = apply_unitary(test_operation_map["PSWAP"](0.432), 3)
else:
state = apply_unitary(op.matrix, 3)
with qml.tape.QuantumTape() as tape:
qml.apply(op)
obs
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
res = dev.expval(obs.obs)
expected = np.vdot(state, np.kron(np.kron(Z, I), I) @ state)
# verify the device is now in the expected state
# Note we have increased the tolerance here, since we are only
# performing 1024 shots.
self.assertAllAlmostEqual(res, expected, delta=3 / np.sqrt(shots))
def test_sample_values(self, qvm, tol):
"""Tests if the samples returned by sample have
the correct values
"""
dev = plf.QVMDevice(device="1q-qvm", shots=10)
with qml.tape.QuantumTape() as tape:
qml.RX(1.5708, wires=[0])
O1 = qml.expval(qml.PauliZ(wires=[0]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
s1 = dev.sample(O1.obs)
# s1 should only contain 1 and -1
self.assertAllAlmostEqual(s1**2, 1, delta=tol)
self.assertAllAlmostEqual(s1, 1 - 2 * dev._samples[:, 0], delta=tol)
def test_sample_values_hermitian(self, qvm, tol):
"""Tests if the samples of a Hermitian observable returned by sample have
the correct values
"""
theta = 0.543
shots = 1_000_000
A = np.array([[1, 2j], [-2j, 0]])
dev = plf.QVMDevice(device="1q-qvm", shots=shots)
with qml.tape.QuantumTape() as tape:
qml.RX(theta, wires=[0])
O1 = qml.sample(qml.Hermitian(A, wires=[0]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
s1 = dev.sample(O1.obs)
# s1 should only contain the eigenvalues of
# the hermitian matrix
eigvals = np.linalg.eigvalsh(A)
assert np.allclose(sorted(list(set(s1))),
sorted(eigvals),
atol=tol,
rtol=0)
# the analytic mean is 2*sin(theta)+0.5*cos(theta)+0.5
assert np.allclose(np.mean(s1),
2 * np.sin(theta) + 0.5 * np.cos(theta) + 0.5,
atol=0.1,
rtol=0)
# the analytic variance is 0.25*(sin(theta)-4*cos(theta))^2
assert np.allclose(np.var(s1),
0.25 * (np.sin(theta) - 4 * np.cos(theta))**2,
atol=0.1,
rtol=0)
def test_sample_values_hermitian_multi_qubit(self, qvm, tol):
"""Tests if the samples of a multi-qubit Hermitian observable returned by sample have
the correct values
"""
theta = 0.543
shots = 100_000
A = np.array([
[1, 2j, 1 - 2j, 0.5j],
[-2j, 0, 3 + 4j, 1],
[1 + 2j, 3 - 4j, 0.75, 1.5 - 2j],
[-0.5j, 1, 1.5 + 2j, -1],
])
dev = plf.QVMDevice(device="2q-qvm", shots=shots)
with qml.tape.QuantumTape() as tape:
qml.RX(theta, wires=[0])
qml.RY(2 * theta, wires=[1])
qml.CNOT(wires=[0, 1])
O1 = qml.sample(qml.Hermitian(A, wires=[0, 1]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev._samples = dev.generate_samples()
s1 = dev.sample(O1.obs)
# s1 should only contain the eigenvalues of
# the hermitian matrix
eigvals = np.linalg.eigvalsh(A)
assert np.allclose(sorted(list(set(s1))),
sorted(eigvals),
atol=tol,
rtol=0)
# make sure the mean matches the analytic mean
expected = (88 * np.sin(theta) + 24 * np.sin(2 * theta) -
40 * np.sin(3 * theta) + 5 * np.cos(theta) -
6 * np.cos(2 * theta) + 27 * np.cos(3 * theta) + 6) / 32
assert np.allclose(np.mean(s1), expected, atol=0.1, rtol=0)
def test_wires_argument(self):
"""Test that the wires argument gets processed correctly."""
dev_no_wires = plf.QVMDevice(device="2q-qvm", shots=5)
assert dev_no_wires.wires == Wires(range(2))
with pytest.raises(ValueError, match="Device has a fixed number of"):
plf.QVMDevice(device="2q-qvm", shots=5, wires=1000)
dev_iterable_wires = plf.QVMDevice(device="2q-qvm",
shots=5,
wires=range(2))
assert dev_iterable_wires.wires == Wires(range(2))
with pytest.raises(ValueError, match="Device has a fixed number of"):
plf.QVMDevice(device="2q-qvm", shots=5, wires=range(1000))
@pytest.mark.parametrize("shots", list(range(0, -10, -1)))
def test_raise_error_if_shots_is_not_positive(self, shots):
"""Test that instantiating a QVMDevice if the number of shots is not a postivie
integer raises an error"""
with pytest.raises(
ValueError,
match="Number of shots must be a positive integer."):
dev = plf.QVMDevice(device="2q-qvm", shots=shots)
def test_raise_error_if_shots_is_none(self, shots):
"""Test that instantiating a QVMDevice to be used for analytic computations raises an error"""
with pytest.raises(
ValueError,
match="QVM device cannot be used for analytic computations."):
dev = plf.QVMDevice(device="2q-qvm", shots=None)
@pytest.mark.parametrize(
"device", ["2q-qvm", np.random.choice(TEST_QPU_LATTICES)])
def test_timeout_set_correctly(self, shots, device):
"""Test that the timeout attrbiute for the QuantumComputer stored by the QVMDevice
is set correctly when passing a value as keyword argument"""
dev = plf.QVMDevice(device=device, shots=shots, timeout=100)
assert dev.qc.compiler.client.timeout == 100
@pytest.mark.parametrize(
"device", ["2q-qvm", np.random.choice(TEST_QPU_LATTICES)])
def test_timeout_default(self, shots, device):
"""Test that the timeout attrbiute for the QuantumComputer stored by the QVMDevice
is set correctly when passing a value as keyword argument"""
dev = plf.QVMDevice(device=device, shots=shots)
qc = pyquil.get_qc(device, as_qvm=True)
# Check that the timeouts are equal (it has not been changed as a side effect of
# instantiation
assert dev.qc.compiler.client.timeout == qc.compiler.client.timeout
def test_compiled_program_stored(self, qvm, monkeypatch):
"""Test that QVM device stores the latest compiled program."""
dev = qml.device("forest.qvm", device="2q-qvm")
dev.compiled_program is None
theta = 0.432
phi = 0.123
with qml.tape.QuantumTape() as tape:
qml.RX(theta, wires=[0])
qml.RX(phi, wires=[1])
qml.CNOT(wires=[0, 1])
O1 = qml.expval(qml.Identity(wires=[0]))
O2 = qml.expval(qml.Identity(wires=[1]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev.generate_samples()
dev.compiled_program is not None
def test_stored_compiled_program_correct(self, qvm, monkeypatch):
"""Test that QVM device stores the latest compiled program."""
dev = qml.device("forest.qvm", device="2q-qvm")
dev.compiled_program is None
theta = 0.432
with qml.tape.QuantumTape() as tape:
qml.RZ(theta, wires=[0])
qml.CZ(wires=[0, 1])
O1 = qml.expval(qml.PauliZ(wires=[0]))
dev.apply(tape.operations, rotations=tape.diagonalizing_gates)
dev.generate_samples()
dev.compiled_program.program == compiled_program
"PauliZ": qml.PauliZ(wires=[0]),
"PhaseShift": qml.PhaseShift(0, wires=[0]),
"ControlledPhaseShift": qml.ControlledPhaseShift(0, wires=[0, 1]),
"QubitStateVector": qml.QubitStateVector(np.array([1.0, 0.0]), wires=[0]),
"QubitUnitary": qml.QubitUnitary(np.eye(2), wires=[0]),
"ControlledQubitUnitary": qml.ControlledQubitUnitary(np.eye(2), control_wires=[1], wires=[0]),
"MultiControlledX": qml.MultiControlledX(control_wires=[1, 2], wires=[0]),
"RX": qml.RX(0, wires=[0]),
"RY": qml.RY(0, wires=[0]),
"RZ": qml.RZ(0, wires=[0]),
"Rot": qml.Rot(0, 0, 0, wires=[0]),
"S": qml.S(wires=[0]),
"SWAP": qml.SWAP(wires=[0, 1]),
"T": qml.T(wires=[0]),
"SX": qml.SX(wires=[0]),
"Toffoli": qml.Toffoli(wires=[0, 1, 2]),
"QFT": qml.QFT(wires=[0, 1, 2]),
"SingleExcitation": qml.SingleExcitation(0, wires=[0, 1]),
"SingleExcitationPlus": qml.SingleExcitationPlus(0, wires=[0, 1]),
"SingleExcitationMinus": qml.SingleExcitationMinus(0, wires=[0, 1]),
"DoubleExcitation": qml.DoubleExcitation(0, wires=[0, 1, 2, 3]),
"DoubleExcitationPlus": qml.DoubleExcitationPlus(0, wires=[0, 1, 2, 3]),
"DoubleExcitationMinus": qml.DoubleExcitationMinus(0, wires=[0, 1, 2, 3]),
"QubitCarry": qml.QubitCarry(wires=[0, 1, 2, 3]),
"QubitSum:": qml.QubitSum(wires=[0, 1, 2]),
}
all_ops = ops.keys()
# non-parametrized qubit gates
I = np.identity(2)
(qml.Hadamard(0), "H", "H"),
(qml.PauliX(0), "X", "X"),
(qml.PauliY(0), "Y", "Y"),
(qml.PauliZ(0), "Z", "Z"),
(qml.S(wires=0), "S", "S⁻¹"),
(qml.T(wires=0), "T", "T⁻¹"),
(qml.SX(wires=0), "SX", "SX⁻¹"),
(qml.CNOT(wires=(0, 1)), "⊕", "⊕"),
(qml.CZ(wires=(0, 1)), "Z", "Z"),
(qml.CY(wires=(0, 1)), "Y", "Y"),
(qml.SWAP(wires=(0, 1)), "SWAP", "SWAP⁻¹"),
(qml.ISWAP(wires=(0, 1)), "ISWAP", "ISWAP⁻¹"),
(qml.SISWAP(wires=(0, 1)), "SISWAP", "SISWAP⁻¹"),
(qml.SQISW(wires=(0, 1)), "SISWAP", "SISWAP⁻¹"),
(qml.CSWAP(wires=(0, 1, 2)), "SWAP", "SWAP"),
(qml.Toffoli(wires=(0, 1, 2)), "⊕", "⊕"),
(qml.MultiControlledX(control_wires=(0, 1, 2), wires=(3)), "⊕", "⊕"),
(qml.Barrier(0), "||", "||"),
(qml.WireCut(wires=0), "//", "//"),
]
@pytest.mark.parametrize("op, label1, label2", label_data)
def test_label_method(op, label1, label2):
assert op.label() == label1
assert op.label(decimals=2) == label1
op.inv()
assert op.label() == label2
def circuit(x, y):
qml.RX(x[0], wires=0)
qml.Toffoli(wires=(0, 1, 2))
qml.CRY(x[1], wires=(0, 1))
qml.Rot(x[2], x[3], y, wires=2)
return qml.expval(qml.PauliZ(0)), qml.expval(qml.PauliX(1))
def circuitz():
qml.Hadamard(wires=0)
qml.Hadamard(wires=1)
qml.Hadamard(wires=2)
qml.Toffoli(wires=[0, 1, 2])
return qml.expval(qml.PauliZ(2))
ax.annotate("CSWAP",
xy=(2, 2.5),
xycoords='data',
xytext=(2.8, 1.5),
textcoords='data',
arrowprops={'facecolor': 'black'},
fontsize=14)
plt.savefig(folder / "postprocessing.png")
plt.close()
if __name__ == "__main__":
with qml.tape.QuantumTape() as tape:
qml.templates.GroverOperator(wires=(0, 1, 2, 3))
qml.Toffoli(wires=(0, 1, 2))
qml.CSWAP(wires=(0, 2, 3))
qml.RX(1.2345, wires=0)
qml.CRZ(1.2345, wires=(3, 0))
qml.expval(qml.PauliZ(0))
default(tape)
decimals()
wire_order(tape)
show_all_wires(tape)
mpl_style(tape)
rcparams(tape)
wires_and_labels(tape)
postprocessing(tape)
def expand(self):
with qml.tape.QuantumTape() as tape:
qml.Toffoli(wires=[self.wires[0],self.wires[2],self.wires[3]])
qml.CNOT(wires=[self.wires[1],self.wires[2]])
qml.Toffoli(wires=self.wires[1:])
return tape
def qfunc():
qml.PauliX(0)
qml.PauliX(5)
qml.Toffoli(wires=[5, 1, 0])
return [qml.expval(qml.PauliY(0)), qml.probs(wires=[1, 2, 4])]
def f2():
qml.QubitUnitary(U1, wires=range(3))
qml.Toffoli(wires=control_wires + [target_wire])
qml.QubitUnitary(U2, wires=range(3))
return qml.state()
def oracle():
qml.Hadamard(wires[-1])
qml.Toffoli(wires=wires)
qml.Hadamard(wires[-1])
class TestRepresentationResolver:
"""Test the RepresentationResolver class."""
@pytest.mark.parametrize(
"list,element,index,list_after",
[
([1, 2, 3], 2, 1, [1, 2, 3]),
([1, 2, 2, 3], 2, 1, [1, 2, 2, 3]),
([1, 2, 3], 4, 3, [1, 2, 3, 4]),
],
)
def test_index_of_array_or_append(self, list, element, index, list_after):
"""Test the method index_of_array_or_append."""
assert RepresentationResolver.index_of_array_or_append(element,
list) == index
assert list == list_after
@pytest.mark.parametrize(
"par,expected",
[
(3, "3"),
(5.236422, "5.24"),
],
)
def test_single_parameter_representation(self,
unicode_representation_resolver,
par, expected):
"""Test that single parameters are properly resolved."""
assert unicode_representation_resolver.single_parameter_representation(
par) == expected
@pytest.mark.parametrize(
"op,wire,target",
[
(qml.PauliX(wires=[1]), 1, "X"),
(qml.CNOT(wires=[0, 1]), 1, "X"),
(qml.CNOT(wires=[0, 1]), 0, "C"),
(qml.Toffoli(wires=[0, 2, 1]), 1, "X"),
(qml.Toffoli(wires=[0, 2, 1]), 0, "C"),
(qml.Toffoli(wires=[0, 2, 1]), 2, "C"),
(qml.CSWAP(wires=[0, 2, 1]), 1, "SWAP"),
(qml.CSWAP(wires=[0, 2, 1]), 2, "SWAP"),
(qml.CSWAP(wires=[0, 2, 1]), 0, "C"),
(qml.PauliY(wires=[1]), 1, "Y"),
(qml.PauliZ(wires=[1]), 1, "Z"),
(qml.CZ(wires=[0, 1]), 1, "Z"),
(qml.CZ(wires=[0, 1]), 0, "C"),
(qml.Identity(wires=[1]), 1, "I"),
(qml.Hadamard(wires=[1]), 1, "H"),
(qml.PauliRot(3.14, "XX", wires=[0, 1]), 1, "RX(3.14)"),
(qml.PauliRot(3.14, "YZ", wires=[0, 1]), 1, "RZ(3.14)"),
(qml.PauliRot(3.14, "IXYZI", wires=[0, 1, 2, 3, 4
]), 0, "RI(3.14)"),
(qml.PauliRot(3.14, "IXYZI", wires=[0, 1, 2, 3, 4
]), 1, "RX(3.14)"),
(qml.PauliRot(3.14, "IXYZI", wires=[0, 1, 2, 3, 4
]), 2, "RY(3.14)"),
(qml.PauliRot(3.14, "IXYZI", wires=[0, 1, 2, 3, 4
]), 3, "RZ(3.14)"),
(qml.PauliRot(3.14, "IXYZI", wires=[0, 1, 2, 3, 4
]), 4, "RI(3.14)"),
(qml.MultiRZ(3.14, wires=[0, 1]), 0, "RZ(3.14)"),
(qml.MultiRZ(3.14, wires=[0, 1]), 1, "RZ(3.14)"),
(qml.CRX(3.14, wires=[0, 1]), 1, "RX(3.14)"),
(qml.CRX(3.14, wires=[0, 1]), 0, "C"),
(qml.CRY(3.14, wires=[0, 1]), 1, "RY(3.14)"),
(qml.CRY(3.14, wires=[0, 1]), 0, "C"),
(qml.CRZ(3.14, wires=[0, 1]), 1, "RZ(3.14)"),
(qml.CRZ(3.14, wires=[0, 1]), 0, "C"),
(qml.CRot(3.14, 2.14, 1.14, wires=[0, 1
]), 1, "Rot(3.14, 2.14, 1.14)"),
(qml.CRot(3.14, 2.14, 1.14, wires=[0, 1]), 0, "C"),
(qml.PhaseShift(3.14, wires=[0]), 0, "Rϕ(3.14)"),
(qml.Beamsplitter(1, 2, wires=[0, 1]), 1, "BS(1, 2)"),
(qml.Beamsplitter(1, 2, wires=[0, 1]), 0, "BS(1, 2)"),
(qml.Squeezing(1, 2, wires=[1]), 1, "S(1, 2)"),
(qml.TwoModeSqueezing(1, 2, wires=[0, 1]), 1, "S(1, 2)"),
(qml.TwoModeSqueezing(1, 2, wires=[0, 1]), 0, "S(1, 2)"),
(qml.Displacement(1, 2, wires=[1]), 1, "D(1, 2)"),
(qml.NumberOperator(wires=[1]), 1, "n"),
(qml.Rotation(3.14, wires=[1]), 1, "R(3.14)"),
(qml.ControlledAddition(3.14, wires=[0, 1]), 1, "X(3.14)"),
(qml.ControlledAddition(3.14, wires=[0, 1]), 0, "C"),
(qml.ControlledPhase(3.14, wires=[0, 1]), 1, "Z(3.14)"),
(qml.ControlledPhase(3.14, wires=[0, 1]), 0, "C"),
(qml.ThermalState(3, wires=[1]), 1, "Thermal(3)"),
(
qml.GaussianState(np.array([[2, 0], [0, 2]]),
np.array([1, 2]),
wires=[1]),
1,
"Gaussian(M0,M1)",
),
(qml.QuadraticPhase(3.14, wires=[1]), 1, "P(3.14)"),
(qml.RX(3.14, wires=[1]), 1, "RX(3.14)"),
(qml.S(wires=[2]), 2, "S"),
(qml.T(wires=[2]), 2, "T"),
(qml.RX(3.14, wires=[1]), 1, "RX(3.14)"),
(qml.RY(3.14, wires=[1]), 1, "RY(3.14)"),
(qml.RZ(3.14, wires=[1]), 1, "RZ(3.14)"),
(qml.Rot(3.14, 2.14, 1.14, wires=[1]), 1, "Rot(3.14, 2.14, 1.14)"),
(qml.U1(3.14, wires=[1]), 1, "U1(3.14)"),
(qml.U2(3.14, 2.14, wires=[1]), 1, "U2(3.14, 2.14)"),
(qml.U3(3.14, 2.14, 1.14, wires=[1]), 1, "U3(3.14, 2.14, 1.14)"),
(qml.BasisState(np.array([0, 1, 0]), wires=[1, 2, 3]), 1, "|0⟩"),
(qml.BasisState(np.array([0, 1, 0]), wires=[1, 2, 3]), 2, "|1⟩"),
(qml.BasisState(np.array([0, 1, 0]), wires=[1, 2, 3]), 3, "|0⟩"),
(qml.QubitStateVector(np.array([0, 1, 0, 0]),
wires=[1, 2]), 1, "QubitStateVector(M0)"),
(qml.QubitStateVector(np.array([0, 1, 0, 0]),
wires=[1, 2]), 2, "QubitStateVector(M0)"),
(qml.QubitUnitary(np.eye(2), wires=[1]), 1, "U0"),
(qml.QubitUnitary(np.eye(4), wires=[1, 2]), 2, "U0"),
(qml.Kerr(3.14, wires=[1]), 1, "Kerr(3.14)"),
(qml.CrossKerr(3.14, wires=[1, 2]), 1, "CrossKerr(3.14)"),
(qml.CrossKerr(3.14, wires=[1, 2]), 2, "CrossKerr(3.14)"),
(qml.CubicPhase(3.14, wires=[1]), 1, "V(3.14)"),
(qml.InterferometerUnitary(
np.eye(4), wires=[1, 3]), 1, "InterferometerUnitary(M0)"),
(qml.InterferometerUnitary(
np.eye(4), wires=[1, 3]), 3, "InterferometerUnitary(M0)"),
(qml.CatState(3.14, 2.14, 1,
wires=[1]), 1, "CatState(3.14, 2.14, 1)"),
(qml.CoherentState(3.14, 2.14,
wires=[1]), 1, "CoherentState(3.14, 2.14)"),
(
qml.FockDensityMatrix(np.kron(np.eye(4), np.eye(4)),
wires=[1, 2]),
1,
"FockDensityMatrix(M0)",
),
(
qml.FockDensityMatrix(np.kron(np.eye(4), np.eye(4)),
wires=[1, 2]),
2,
"FockDensityMatrix(M0)",
),
(
qml.DisplacedSqueezedState(3.14, 2.14, 1.14, 0.14, wires=[1]),
1,
"DisplacedSqueezedState(3.14, 2.14, 1.14, 0.14)",
),
(qml.FockState(7, wires=[1]), 1, "|7⟩"),
(qml.FockStateVector(np.array([4, 5, 7]), wires=[1, 2, 3
]), 1, "|4⟩"),
(qml.FockStateVector(np.array([4, 5, 7]), wires=[1, 2, 3
]), 2, "|5⟩"),
(qml.FockStateVector(np.array([4, 5, 7]), wires=[1, 2, 3
]), 3, "|7⟩"),
(qml.SqueezedState(3.14, 2.14,
wires=[1]), 1, "SqueezedState(3.14, 2.14)"),
(qml.Hermitian(np.eye(4), wires=[1, 2]), 1, "H0"),
(qml.Hermitian(np.eye(4), wires=[1, 2]), 2, "H0"),
(qml.X(wires=[1]), 1, "x"),
(qml.P(wires=[1]), 1, "p"),
(qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3]), 1, "|4,5,7╳4,5,7|"),
(
qml.PolyXP(np.array([1, 2, 0, -1.3, 6]), wires=[1]),
2,
"1+2x₀-1.3x₁+6p₁",
),
(
qml.PolyXP(np.array([[1.2, 2.3, 4.5], [-1.2, 1.2, -1.5],
[-1.3, 4.5, 2.3]]),
wires=[1]),
1,
"1.2+1.1x₀+3.2p₀+1.2x₀²+2.3p₀²+3x₀p₀",
),
(
qml.PolyXP(
np.array([
[1.2, 2.3, 4.5, 0, 0],
[-1.2, 1.2, -1.5, 0, 0],
[-1.3, 4.5, 2.3, 0, 0],
[0, 2.6, 0, 0, 0],
[0, 0, 0, -4.7, -1.0],
]),
wires=[1],
),
1,
"1.2+1.1x₀+3.2p₀+1.2x₀²+2.3p₀²+3x₀p₀+2.6x₀x₁-p₁²-4.7x₁p₁",
),
(qml.QuadOperator(3.14, wires=[1]), 1, "cos(3.14)x+sin(3.14)p"),
(qml.PauliX(wires=[1]).inv(), 1, "X⁻¹"),
(qml.CNOT(wires=[0, 1]).inv(), 1, "X⁻¹"),
(qml.CNOT(wires=[0, 1]).inv(), 0, "C"),
(qml.Toffoli(wires=[0, 2, 1]).inv(), 1, "X⁻¹"),
(qml.Toffoli(wires=[0, 2, 1]).inv(), 0, "C"),
(qml.Toffoli(wires=[0, 2, 1]).inv(), 2, "C"),
(qml.measure.sample(wires=[0, 1]), 0,
"basis"), # not providing an observable in
(qml.measure.sample(wires=[0, 1]), 1,
"basis"), # sample gets displayed as raw
(two_wire_quantum_tape(), 0, "QuantumTape:T0"),
(two_wire_quantum_tape(), 1, "QuantumTape:T0"),
],
)
def test_operator_representation_unicode(self,
unicode_representation_resolver,
op, wire, target):
"""Test that an Operator instance is properly resolved."""
assert unicode_representation_resolver.operator_representation(
op, wire) == target
@pytest.mark.parametrize(
"op,wire,target",
[
(qml.PauliX(wires=[1]), 1, "X"),
(qml.CNOT(wires=[0, 1]), 1, "X"),
(qml.CNOT(wires=[0, 1]), 0, "C"),
(qml.Toffoli(wires=[0, 2, 1]), 1, "X"),
(qml.Toffoli(wires=[0, 2, 1]), 0, "C"),
(qml.Toffoli(wires=[0, 2, 1]), 2, "C"),
(qml.CSWAP(wires=[0, 2, 1]), 1, "SWAP"),
(qml.CSWAP(wires=[0, 2, 1]), 2, "SWAP"),
(qml.CSWAP(wires=[0, 2, 1]), 0, "C"),
(qml.PauliY(wires=[1]), 1, "Y"),
(qml.PauliZ(wires=[1]), 1, "Z"),
(qml.CZ(wires=[0, 1]), 1, "Z"),
(qml.CZ(wires=[0, 1]), 0, "C"),
(qml.Identity(wires=[1]), 1, "I"),
(qml.Hadamard(wires=[1]), 1, "H"),
(qml.CRX(3.14, wires=[0, 1]), 1, "RX(3.14)"),
(qml.CRX(3.14, wires=[0, 1]), 0, "C"),
(qml.CRY(3.14, wires=[0, 1]), 1, "RY(3.14)"),
(qml.CRY(3.14, wires=[0, 1]), 0, "C"),
(qml.CRZ(3.14, wires=[0, 1]), 1, "RZ(3.14)"),
(qml.CRZ(3.14, wires=[0, 1]), 0, "C"),
(qml.CRot(3.14, 2.14, 1.14, wires=[0, 1
]), 1, "Rot(3.14, 2.14, 1.14)"),
(qml.CRot(3.14, 2.14, 1.14, wires=[0, 1]), 0, "C"),
(qml.PhaseShift(3.14, wires=[0]), 0, "Rϕ(3.14)"),
(qml.Beamsplitter(1, 2, wires=[0, 1]), 1, "BS(1, 2)"),
(qml.Beamsplitter(1, 2, wires=[0, 1]), 0, "BS(1, 2)"),
(qml.Squeezing(1, 2, wires=[1]), 1, "S(1, 2)"),
(qml.TwoModeSqueezing(1, 2, wires=[0, 1]), 1, "S(1, 2)"),
(qml.TwoModeSqueezing(1, 2, wires=[0, 1]), 0, "S(1, 2)"),
(qml.Displacement(1, 2, wires=[1]), 1, "D(1, 2)"),
(qml.NumberOperator(wires=[1]), 1, "n"),
(qml.Rotation(3.14, wires=[1]), 1, "R(3.14)"),
(qml.ControlledAddition(3.14, wires=[0, 1]), 1, "X(3.14)"),
(qml.ControlledAddition(3.14, wires=[0, 1]), 0, "C"),
(qml.ControlledPhase(3.14, wires=[0, 1]), 1, "Z(3.14)"),
(qml.ControlledPhase(3.14, wires=[0, 1]), 0, "C"),
(qml.ThermalState(3, wires=[1]), 1, "Thermal(3)"),
(
qml.GaussianState(np.array([[2, 0], [0, 2]]),
np.array([1, 2]),
wires=[1]),
1,
"Gaussian(M0,M1)",
),
(qml.QuadraticPhase(3.14, wires=[1]), 1, "P(3.14)"),
(qml.RX(3.14, wires=[1]), 1, "RX(3.14)"),
(qml.S(wires=[2]), 2, "S"),
(qml.T(wires=[2]), 2, "T"),
(qml.RX(3.14, wires=[1]), 1, "RX(3.14)"),
(qml.RY(3.14, wires=[1]), 1, "RY(3.14)"),
(qml.RZ(3.14, wires=[1]), 1, "RZ(3.14)"),
(qml.Rot(3.14, 2.14, 1.14, wires=[1]), 1, "Rot(3.14, 2.14, 1.14)"),
(qml.U1(3.14, wires=[1]), 1, "U1(3.14)"),
(qml.U2(3.14, 2.14, wires=[1]), 1, "U2(3.14, 2.14)"),
(qml.U3(3.14, 2.14, 1.14, wires=[1]), 1, "U3(3.14, 2.14, 1.14)"),
(qml.BasisState(np.array([0, 1, 0]), wires=[1, 2, 3]), 1, "|0>"),
(qml.BasisState(np.array([0, 1, 0]), wires=[1, 2, 3]), 2, "|1>"),
(qml.BasisState(np.array([0, 1, 0]), wires=[1, 2, 3]), 3, "|0>"),
(qml.QubitStateVector(np.array([0, 1, 0, 0]),
wires=[1, 2]), 1, "QubitStateVector(M0)"),
(qml.QubitStateVector(np.array([0, 1, 0, 0]),
wires=[1, 2]), 2, "QubitStateVector(M0)"),
(qml.QubitUnitary(np.eye(2), wires=[1]), 1, "U0"),
(qml.QubitUnitary(np.eye(4), wires=[1, 2]), 2, "U0"),
(qml.Kerr(3.14, wires=[1]), 1, "Kerr(3.14)"),
(qml.CrossKerr(3.14, wires=[1, 2]), 1, "CrossKerr(3.14)"),
(qml.CrossKerr(3.14, wires=[1, 2]), 2, "CrossKerr(3.14)"),
(qml.CubicPhase(3.14, wires=[1]), 1, "V(3.14)"),
(qml.InterferometerUnitary(
np.eye(4), wires=[1, 3]), 1, "InterferometerUnitary(M0)"),
(qml.InterferometerUnitary(
np.eye(4), wires=[1, 3]), 3, "InterferometerUnitary(M0)"),
(qml.CatState(3.14, 2.14, 1,
wires=[1]), 1, "CatState(3.14, 2.14, 1)"),
(qml.CoherentState(3.14, 2.14,
wires=[1]), 1, "CoherentState(3.14, 2.14)"),
(
qml.FockDensityMatrix(np.kron(np.eye(4), np.eye(4)),
wires=[1, 2]),
1,
"FockDensityMatrix(M0)",
),
(
qml.FockDensityMatrix(np.kron(np.eye(4), np.eye(4)),
wires=[1, 2]),
2,
"FockDensityMatrix(M0)",
),
(
qml.DisplacedSqueezedState(3.14, 2.14, 1.14, 0.14, wires=[1]),
1,
"DisplacedSqueezedState(3.14, 2.14, 1.14, 0.14)",
),
(qml.FockState(7, wires=[1]), 1, "|7>"),
(qml.FockStateVector(np.array([4, 5, 7]), wires=[1, 2, 3
]), 1, "|4>"),
(qml.FockStateVector(np.array([4, 5, 7]), wires=[1, 2, 3
]), 2, "|5>"),
(qml.FockStateVector(np.array([4, 5, 7]), wires=[1, 2, 3
]), 3, "|7>"),
(qml.SqueezedState(3.14, 2.14,
wires=[1]), 1, "SqueezedState(3.14, 2.14)"),
(qml.Hermitian(np.eye(4), wires=[1, 2]), 1, "H0"),
(qml.Hermitian(np.eye(4), wires=[1, 2]), 2, "H0"),
(qml.X(wires=[1]), 1, "x"),
(qml.P(wires=[1]), 1, "p"),
(qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3]), 1, "|4,5,7X4,5,7|"),
(
qml.PolyXP(np.array([1, 2, 0, -1.3, 6]), wires=[1]),
2,
"1+2x_0-1.3x_1+6p_1",
),
(
qml.PolyXP(np.array([[1.2, 2.3, 4.5], [-1.2, 1.2, -1.5],
[-1.3, 4.5, 2.3]]),
wires=[1]),
1,
"1.2+1.1x_0+3.2p_0+1.2x_0^2+2.3p_0^2+3x_0p_0",
),
(
qml.PolyXP(
np.array([
[1.2, 2.3, 4.5, 0, 0],
[-1.2, 1.2, -1.5, 0, 0],
[-1.3, 4.5, 2.3, 0, 0],
[0, 2.6, 0, 0, 0],
[0, 0, 0, -4.7, 0],
]),
wires=[1],
),
1,
"1.2+1.1x_0+3.2p_0+1.2x_0^2+2.3p_0^2+3x_0p_0+2.6x_0x_1-4.7x_1p_1",
),
(qml.QuadOperator(3.14, wires=[1]), 1, "cos(3.14)x+sin(3.14)p"),
(qml.QuadOperator(3.14, wires=[1]), 1, "cos(3.14)x+sin(3.14)p"),
(qml.PauliX(wires=[1]).inv(), 1, "X^-1"),
(qml.CNOT(wires=[0, 1]).inv(), 1, "X^-1"),
(qml.CNOT(wires=[0, 1]).inv(), 0, "C"),
(qml.Toffoli(wires=[0, 2, 1]).inv(), 1, "X^-1"),
(qml.Toffoli(wires=[0, 2, 1]).inv(), 0, "C"),
(qml.Toffoli(wires=[0, 2, 1]).inv(), 2, "C"),
(qml.measure.sample(wires=[0, 1]), 0,
"basis"), # not providing an observable in
(qml.measure.sample(wires=[0, 1]), 1,
"basis"), # sample gets displayed as raw
(two_wire_quantum_tape(), 0, "QuantumTape:T0"),
(two_wire_quantum_tape(), 1, "QuantumTape:T0"),
],
)
def test_operator_representation_ascii(self, ascii_representation_resolver,
op, wire, target):
"""Test that an Operator instance is properly resolved."""
assert ascii_representation_resolver.operator_representation(
op, wire) == target
@pytest.mark.parametrize(
"obs,wire,target",
[
(qml.expval(qml.PauliX(wires=[1])), 1, "⟨X⟩"),
(qml.expval(qml.PauliY(wires=[1])), 1, "⟨Y⟩"),
(qml.expval(qml.PauliZ(wires=[1])), 1, "⟨Z⟩"),
(qml.expval(qml.Hadamard(wires=[1])), 1, "⟨H⟩"),
(qml.expval(qml.Hermitian(np.eye(4), wires=[1, 2])), 1, "⟨H0⟩"),
(qml.expval(qml.Hermitian(np.eye(4), wires=[1, 2])), 2, "⟨H0⟩"),
(qml.expval(qml.NumberOperator(wires=[1])), 1, "⟨n⟩"),
(qml.expval(qml.X(wires=[1])), 1, "⟨x⟩"),
(qml.expval(qml.P(wires=[1])), 1, "⟨p⟩"),
(
qml.expval(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])),
1,
"⟨|4,5,7╳4,5,7|⟩",
),
(
qml.expval(qml.PolyXP(np.array([1, 2, 0, -1.3, 6]), wires=[1
])),
2,
"⟨1+2x₀-1.3x₁+6p₁⟩",
),
(
qml.expval(
qml.PolyXP(np.array([[1.2, 2.3, 4.5], [-1.2, 1.2, -1.5],
[-1.3, 4.5, 2.3]]),
wires=[1])),
1,
"⟨1.2+1.1x₀+3.2p₀+1.2x₀²+2.3p₀²+3x₀p₀⟩",
),
(qml.expval(qml.QuadOperator(
3.14, wires=[1])), 1, "⟨cos(3.14)x+sin(3.14)p⟩"),
(qml.var(qml.PauliX(wires=[1])), 1, "Var[X]"),
(qml.var(qml.PauliY(wires=[1])), 1, "Var[Y]"),
(qml.var(qml.PauliZ(wires=[1])), 1, "Var[Z]"),
(qml.var(qml.Hadamard(wires=[1])), 1, "Var[H]"),
(qml.var(qml.Hermitian(np.eye(4), wires=[1, 2])), 1, "Var[H0]"),
(qml.var(qml.Hermitian(np.eye(4), wires=[1, 2])), 2, "Var[H0]"),
(qml.var(qml.NumberOperator(wires=[1])), 1, "Var[n]"),
(qml.var(qml.X(wires=[1])), 1, "Var[x]"),
(qml.var(qml.P(wires=[1])), 1, "Var[p]"),
(
qml.var(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])),
1,
"Var[|4,5,7╳4,5,7|]",
),
(
qml.var(qml.PolyXP(np.array([1, 2, 0, -1.3, 6]), wires=[1])),
2,
"Var[1+2x₀-1.3x₁+6p₁]",
),
(
qml.var(
qml.PolyXP(np.array([[1.2, 2.3, 4.5], [-1.2, 1.2, -1.5],
[-1.3, 4.5, 2.3]]),
wires=[1])),
1,
"Var[1.2+1.1x₀+3.2p₀+1.2x₀²+2.3p₀²+3x₀p₀]",
),
(qml.var(qml.QuadOperator(
3.14, wires=[1])), 1, "Var[cos(3.14)x+sin(3.14)p]"),
(qml.sample(qml.PauliX(wires=[1])), 1, "Sample[X]"),
(qml.sample(qml.PauliY(wires=[1])), 1, "Sample[Y]"),
(qml.sample(qml.PauliZ(wires=[1])), 1, "Sample[Z]"),
(qml.sample(qml.Hadamard(wires=[1])), 1, "Sample[H]"),
(qml.sample(qml.Hermitian(np.eye(4), wires=[1, 2
])), 1, "Sample[H0]"),
(qml.sample(qml.Hermitian(np.eye(4), wires=[1, 2
])), 2, "Sample[H0]"),
(qml.sample(qml.NumberOperator(wires=[1])), 1, "Sample[n]"),
(qml.sample(qml.X(wires=[1])), 1, "Sample[x]"),
(qml.sample(qml.P(wires=[1])), 1, "Sample[p]"),
(
qml.sample(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])),
1,
"Sample[|4,5,7╳4,5,7|]",
),
(
qml.sample(qml.PolyXP(np.array([1, 2, 0, -1.3, 6]), wires=[1
])),
2,
"Sample[1+2x₀-1.3x₁+6p₁]",
),
(
qml.sample(
qml.PolyXP(np.array([[1.2, 2.3, 4.5], [-1.2, 1.2, -1.5],
[-1.3, 4.5, 2.3]]),
wires=[1])),
1,
"Sample[1.2+1.1x₀+3.2p₀+1.2x₀²+2.3p₀²+3x₀p₀]",
),
(qml.sample(qml.QuadOperator(
3.14, wires=[1])), 1, "Sample[cos(3.14)x+sin(3.14)p]"),
(
qml.expval(
qml.PauliX(wires=[1]) @ qml.PauliY(wires=[2])
@ qml.PauliZ(wires=[3])),
1,
"⟨X ⊗ Y ⊗ Z⟩",
),
(
qml.expval(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])
@ qml.X(wires=[4])),
1,
"⟨|4,5,7╳4,5,7| ⊗ x⟩",
),
(
qml.expval(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])
@ qml.X(wires=[4])),
2,
"⟨|4,5,7╳4,5,7| ⊗ x⟩",
),
(
qml.expval(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])
@ qml.X(wires=[4])),
3,
"⟨|4,5,7╳4,5,7| ⊗ x⟩",
),
(
qml.expval(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])
@ qml.X(wires=[4])),
4,
"⟨|4,5,7╳4,5,7| ⊗ x⟩",
),
(
qml.sample(
qml.Hermitian(np.eye(4), wires=[1, 2]) @ qml.Hermitian(
np.eye(4), wires=[0, 3])),
0,
"Sample[H0 ⊗ H0]",
),
(
qml.sample(
qml.Hermitian(np.eye(4), wires=[1, 2]) @ qml.Hermitian(
2 * np.eye(4), wires=[0, 3])),
0,
"Sample[H0 ⊗ H1]",
),
(qml.probs([0]), 0, "Probs"),
(state(), 0, "State"),
],
)
def test_output_representation_unicode(self,
unicode_representation_resolver,
obs, wire, target):
"""Test that an Observable instance with return type is properly resolved."""
assert unicode_representation_resolver.output_representation(
obs, wire) == target
def test_fallback_output_representation_unicode(
self, unicode_representation_resolver):
"""Test that an Observable instance with return type is properly resolved."""
obs = qml.PauliZ(0)
obs.return_type = "TestReturnType"
assert unicode_representation_resolver.output_representation(
obs, 0) == "TestReturnType[Z]"
@pytest.mark.parametrize(
"obs,wire,target",
[
(qml.expval(qml.PauliX(wires=[1])), 1, "<X>"),
(qml.expval(qml.PauliY(wires=[1])), 1, "<Y>"),
(qml.expval(qml.PauliZ(wires=[1])), 1, "<Z>"),
(qml.expval(qml.Hadamard(wires=[1])), 1, "<H>"),
(qml.expval(qml.Hermitian(np.eye(4), wires=[1, 2])), 1, "<H0>"),
(qml.expval(qml.Hermitian(np.eye(4), wires=[1, 2])), 2, "<H0>"),
(qml.expval(qml.NumberOperator(wires=[1])), 1, "<n>"),
(qml.expval(qml.X(wires=[1])), 1, "<x>"),
(qml.expval(qml.P(wires=[1])), 1, "<p>"),
(
qml.expval(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])),
1,
"<|4,5,7X4,5,7|>",
),
(
qml.expval(qml.PolyXP(np.array([1, 2, 0, -1.3, 6]), wires=[1
])),
2,
"<1+2x_0-1.3x_1+6p_1>",
),
(
qml.expval(
qml.PolyXP(np.array([[1.2, 2.3, 4.5], [-1.2, 1.2, -1.5],
[-1.3, 4.5, 2.3]]),
wires=[1])),
1,
"<1.2+1.1x_0+3.2p_0+1.2x_0^2+2.3p_0^2+3x_0p_0>",
),
(qml.expval(qml.QuadOperator(
3.14, wires=[1])), 1, "<cos(3.14)x+sin(3.14)p>"),
(qml.var(qml.PauliX(wires=[1])), 1, "Var[X]"),
(qml.var(qml.PauliY(wires=[1])), 1, "Var[Y]"),
(qml.var(qml.PauliZ(wires=[1])), 1, "Var[Z]"),
(qml.var(qml.Hadamard(wires=[1])), 1, "Var[H]"),
(qml.var(qml.Hermitian(np.eye(4), wires=[1, 2])), 1, "Var[H0]"),
(qml.var(qml.Hermitian(np.eye(4), wires=[1, 2])), 2, "Var[H0]"),
(qml.var(qml.NumberOperator(wires=[1])), 1, "Var[n]"),
(qml.var(qml.X(wires=[1])), 1, "Var[x]"),
(qml.var(qml.P(wires=[1])), 1, "Var[p]"),
(
qml.var(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])),
1,
"Var[|4,5,7X4,5,7|]",
),
(
qml.var(qml.PolyXP(np.array([1, 2, 0, -1.3, 6]), wires=[1])),
2,
"Var[1+2x_0-1.3x_1+6p_1]",
),
(
qml.var(
qml.PolyXP(np.array([[1.2, 2.3, 4.5], [-1.2, 1.2, -1.5],
[-1.3, 4.5, 2.3]]),
wires=[1])),
1,
"Var[1.2+1.1x_0+3.2p_0+1.2x_0^2+2.3p_0^2+3x_0p_0]",
),
(qml.var(qml.QuadOperator(
3.14, wires=[1])), 1, "Var[cos(3.14)x+sin(3.14)p]"),
(qml.sample(qml.PauliX(wires=[1])), 1, "Sample[X]"),
(qml.sample(qml.PauliY(wires=[1])), 1, "Sample[Y]"),
(qml.sample(qml.PauliZ(wires=[1])), 1, "Sample[Z]"),
(qml.sample(qml.Hadamard(wires=[1])), 1, "Sample[H]"),
(qml.sample(qml.Hermitian(np.eye(4), wires=[1, 2
])), 1, "Sample[H0]"),
(qml.sample(qml.Hermitian(np.eye(4), wires=[1, 2
])), 2, "Sample[H0]"),
(qml.sample(qml.NumberOperator(wires=[1])), 1, "Sample[n]"),
(qml.sample(qml.X(wires=[1])), 1, "Sample[x]"),
(qml.sample(qml.P(wires=[1])), 1, "Sample[p]"),
(
qml.sample(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])),
1,
"Sample[|4,5,7X4,5,7|]",
),
(
qml.sample(qml.PolyXP(np.array([1, 2, 0, -1.3, 6]), wires=[1
])),
2,
"Sample[1+2x_0-1.3x_1+6p_1]",
),
(
qml.sample(
qml.PolyXP(np.array([[1.2, 2.3, 4.5], [-1.2, 1.2, -1.5],
[-1.3, 4.5, 2.3]]),
wires=[1])),
1,
"Sample[1.2+1.1x_0+3.2p_0+1.2x_0^2+2.3p_0^2+3x_0p_0]",
),
(qml.sample(qml.QuadOperator(
3.14, wires=[1])), 1, "Sample[cos(3.14)x+sin(3.14)p]"),
(
qml.expval(
qml.PauliX(wires=[1]) @ qml.PauliY(wires=[2])
@ qml.PauliZ(wires=[3])),
1,
"<X @ Y @ Z>",
),
(
qml.expval(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])
@ qml.X(wires=[4])),
1,
"<|4,5,7X4,5,7| @ x>",
),
(
qml.expval(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])
@ qml.X(wires=[4])),
2,
"<|4,5,7X4,5,7| @ x>",
),
(
qml.expval(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])
@ qml.X(wires=[4])),
3,
"<|4,5,7X4,5,7| @ x>",
),
(
qml.expval(
qml.FockStateProjector(np.array([4, 5, 7]),
wires=[1, 2, 3])
@ qml.X(wires=[4])),
4,
"<|4,5,7X4,5,7| @ x>",
),
(
qml.sample(
qml.Hermitian(np.eye(4), wires=[1, 2]) @ qml.Hermitian(
np.eye(4), wires=[0, 3])),
0,
"Sample[H0 @ H0]",
),
(
qml.sample(
qml.Hermitian(np.eye(4), wires=[1, 2]) @ qml.Hermitian(
2 * np.eye(4), wires=[0, 3])),
0,
"Sample[H0 @ H1]",
),
(qml.probs([0]), 0, "Probs"),
(state(), 0, "State"),
],
)
def test_output_representation_ascii(self, ascii_representation_resolver,
obs, wire, target):
"""Test that an Observable instance with return type is properly resolved."""
assert ascii_representation_resolver.output_representation(
obs, wire) == target
def test_element_representation_none(self,
unicode_representation_resolver):
"""Test that element_representation properly handles None."""
assert unicode_representation_resolver.element_representation(None,
0) == ""
def test_element_representation_str(self, unicode_representation_resolver):
"""Test that element_representation properly handles strings."""
assert unicode_representation_resolver.element_representation(
"Test", 0) == "Test"
def test_element_representation_calls_output(
self, unicode_representation_resolver):
"""Test that element_representation calls output_representation for returned observables."""
unicode_representation_resolver.output_representation = Mock()
obs = qml.sample(qml.PauliX(3))
wire = 3
unicode_representation_resolver.element_representation(obs, wire)
assert unicode_representation_resolver.output_representation.call_args[
0] == (obs, wire)
def test_element_representation_calls_operator(
self, unicode_representation_resolver):
"""Test that element_representation calls operator_representation for all operators that are not returned."""
unicode_representation_resolver.operator_representation = Mock()
op = qml.PauliX(3)
wire = 3
unicode_representation_resolver.element_representation(op, wire)
assert unicode_representation_resolver.operator_representation.call_args[
0] == (op, wire)
two_qubit = [
(qml.CNOT(wires=[0, 1]), CNOT),
(qml.SWAP(wires=[0, 1]), SWAP),
(qml.CZ(wires=[0, 1]), CZ),
(qml.CNOT(wires=[0, 1]).inv(), CNOT.conj().T),
(qml.SWAP(wires=[0, 1]).inv(), SWAP.conj().T),
(qml.CZ(wires=[0, 1]).inv(), CZ.conj().T),
]
# list of all parametrized two-qubit gates
two_qubit_param = [
(qml.CRZ(0, wires=[0, 1]), crz),
(qml.CRZ(0, wires=[0, 1]).inv(), lambda theta: crz(-theta)),
]
# list of all three-qubit gates
three_qubit = [
(qml.Toffoli(wires=[0, 1, 2]), toffoli),
(qml.CSWAP(wires=[0, 1, 2]), CSWAP),
(qml.Toffoli(wires=[0, 1, 2]).inv(), toffoli.conj().T),
(qml.CSWAP(wires=[0, 1, 2]).inv(), CSWAP.conj().T),
]
class TestStateApply:
"""Test the device's state after application of gates."""
@pytest.mark.parametrize(
"state",
[
np.array([0, 0, 1, 0]),
np.array([0, 0, 1, 0]),
np.array([1, 0, 1, 0]),
np.array([1, 1, 1, 1]),
