def test_CXgate(self, setup_eng, pure, hbar, tol):
"""Test the action of the CX gate in phase space"""
if not pure:
pytest.skip("Test only runs on pure states")
N = 2
eng, prog = setup_eng(N)
r = 3
x1 = 2
x2 = 1
p1 = 1.37
p2 = 2.71
s = 0.5
with prog.context as q:
ops.Sgate(r) | q[0]
ops.Xgate(x1) | q[0]
ops.Zgate(p1) | q[0]
ops.Sgate(r) | q[1]
ops.Xgate(x2) | q[1]
ops.Zgate(p2) | q[1]
ops.CXgate(s) | q
state = eng.run(prog).state
CXmat = np.array([[1, 0, 0, 0], [s, 1, 0, 0], [0, 0, 1, -s],
[0, 0, 0, 1]])
Vexpected = 0.5 * hbar * CXmat @ np.diag(
np.exp([-2 * r, -2 * r, 2 * r, 2 * r])) @ CXmat.T
# Checks the covariance matrix is transformed correctly
assert np.allclose(state.cov(), Vexpected, atol=tol, rtol=0)
rexpected = CXmat @ np.array([x1, x2, p1, p2])
# Checks the means are transformed correctly
assert np.allclose(state.means(), rexpected, atol=tol, rtol=0)
def test_non_primitive_gates():
"""Tests that the compiler is able to compile a number of non-primitive Gaussian gates"""
width = 6
eng = sf.LocalEngine(backend="gaussian")
eng1 = sf.LocalEngine(backend="gaussian")
circuit = sf.Program(width)
A = np.random.rand(width, width) + 1j * np.random.rand(width, width)
A = A + A.T
valsA = np.linalg.svd(A, compute_uv=False)
A = A / 2 * np.max(valsA)
B = np.random.rand(
width // 2, width // 2) + 1j * np.random.rand(width // 2, width // 2)
valsB = np.linalg.svd(B, compute_uv=False)
B = B / 2 * valsB
B = np.block([[0 * B, B], [B.T, 0 * B]])
with circuit.context as q:
ops.GraphEmbed(A) | q
ops.BipartiteGraphEmbed(B) | q
ops.Pgate(0.1) | q[1]
ops.CXgate(0.2) | (q[0], q[1])
ops.MZgate(0.4, 0.5) | (q[2], q[3])
ops.Fourier | q[0]
ops.Xgate(0.4) | q[1]
ops.Zgate(0.5) | q[3]
compiled_circuit = circuit.compile(compiler="gaussian_unitary")
cv = eng.run(circuit).state.cov()
mean = eng.run(circuit).state.means()
cv1 = eng1.run(compiled_circuit).state.cov()
mean1 = eng1.run(compiled_circuit).state.means()
assert np.allclose(cv, cv1)
assert np.allclose(mean, mean1)
def test_CZgate_decomp_equal(self, setup_eng, s, tol):
"""Tests that the CZgate gives the same transformation as its decomposition."""
eng, prog = setup_eng(2)
with prog.context as q:
ops.CZgate(s) | q
# run decomposition with reversed arguments
ops.Rgate(-np.pi / 2) | q[1]
ops.CXgate(-s) | q
ops.Rgate(np.pi / 2) | q[1]
eng.run(prog)
assert np.all(eng.backend.is_vacuum(tol))
def test_two_mode_gates_from_operators(self, drawer):
prog = sf.Program(3)
with prog.context as q:
ops.CXgate(1) | (q[0], q[1])
ops.CZgate(1) | (q[0], q[1])
ops.BSgate(1) | (q[0], q[1])
ops.S2gate(1) | (q[0], q[1])
ops.CKgate(1) | (q[0], q[1])
for op in prog.circuit:
method, mode = drawer._gate_from_operator(op)
assert callable(method) and hasattr(drawer, method.__name__)
assert mode == 2
def test_two_mode_gates_from_operators(self, drawer):
eng, q = sf.Engine(3)
with eng:
ops.CXgate(1) | (q[0], q[1])
ops.CZgate(1) | (q[0], q[1])
ops.BSgate(1) | (q[0], q[1])
ops.S2gate(1) | (q[0], q[1])
ops.CKgate(1) | (q[0], q[1])
for op in eng.cmd_queue:
method, mode = drawer._gate_from_operator(op)
assert callable(method) and hasattr(drawer, method.__name__)
assert mode == 2
def test_CXgate(self, setup_eng, pure, hbar, tol):
"""Test the action of the CX gate in phase space"""
if not pure:
pytest.skip("Test only runs on pure states")
N = 2
eng, prog = setup_eng(N)
r = 3
x1 = 2
x2 = 1
p1 = 1.37
p2 = 2.71
s = 0.5
with prog.context as q:
ops.Sgate(r) | q[0]
ops.Xgate(x1) | q[0]
ops.Zgate(p1) | q[0]
ops.Sgate(r) | q[1]
ops.Xgate(x2) | q[1]
ops.Zgate(p2) | q[1]
ops.CXgate(s) | q
state = eng.run(prog).state
CXmat = np.array([[1, 0, 0, 0], [s, 1, 0, 0], [0, 0, 1, -s],
[0, 0, 0, 1]])
Vexpected = 0.5 * hbar * CXmat @ np.diag(
np.exp([-2 * r, -2 * r, 2 * r, 2 * r])) @ CXmat.T
rexpected = CXmat @ np.array([x1, x2, p1, p2])
# Check the covariance and mean transformed correctly
if eng.backend_name == "gaussian":
assert np.allclose(state.cov(), Vexpected, atol=tol, rtol=0)
assert np.allclose(state.means(), rexpected, atol=tol, rtol=0)
elif eng.backend_name == "bosonic":
indices = from_xp(2)
Vexpected = Vexpected[:, indices][indices, :]
rexpected = rexpected[indices]
assert np.allclose(state.covs(),
np.expand_dims(Vexpected, axis=0),
atol=tol,
rtol=0)
assert np.allclose(state.means(),
np.expand_dims(rexpected, axis=0),
atol=tol,
rtol=0)
def test_parse_op(self, drawer):
prog = sf.Program(3)
with prog.context as q:
ops.Xgate(1) | (q[0])
ops.Zgate(1) | (q[0])
ops.CXgate(1) | (q[0], q[1])
ops.CZgate(1) | (q[0], q[1])
ops.BSgate(0, 1) | (q[0], q[1])
ops.S2gate(0, 1) | (q[0], q[1])
ops.CKgate(1) | (q[0], q[1])
ops.Kgate(1) | (q[0])
ops.Vgate(1) | (q[0])
ops.Pgate(1) | (q[0])
ops.Rgate(1) | (q[0])
ops.Sgate(1) | (q[0])
ops.Dgate(1) | (q[0])
for op in prog.circuit:
drawer.parse_op(op)
expected_circuit_matrix = [
[
"\\gate{X}",
"\\gate{Z}",
"\\ctrl{1}",
"\\ctrl{1}",
"\\multigate{1}{BS}",
"\\multigate{1}{S}",
"\\ctrl{1}",
"\\gate{K}",
"\\gate{V}",
"\\gate{P}",
"\\gate{R}",
"\\gate{S}",
"\\gate{D}",
],
["\\qw"] * 2 +
["\\targ", "\\gate{Z}", "\\ghost{BS}", "\\ghost{S}", "\\gate{K}"] +
["\\qw"] * 6,
["\\qw"] * 13,
]
assert drawer._circuit_matrix == expected_circuit_matrix
def test_parse_op(self, drawer):
eng, q = sf.Engine(3)
with eng:
ops.Xgate(1) | (q[0])
ops.Zgate(1) | (q[0])
ops.CXgate(1) | (q[0], q[1])
ops.CZgate(1) | (q[0], q[1])
ops.BSgate(0, 1) | (q[0], q[1])
ops.S2gate(0, 1) | (q[0], q[1])
ops.CKgate(1) | (q[0], q[1])
ops.Kgate(1) | (q[0])
ops.Vgate(1) | (q[0])
ops.Pgate(1) | (q[0])
ops.Rgate(1) | (q[0])
ops.Sgate(1) | (q[0])
ops.Dgate(1) | (q[0])
for op in eng.cmd_queue:
drawer.parse_op(op)
expected_circuit_matrix = [
[
"\\gate{X}",
"\\gate{Z}",
"\\ctrl{1}",
"\\ctrl{1}",
"\\multigate{1}{BS}",
"\\multigate{1}{S}",
"\\ctrl{1}",
"\\gate{K}",
"\\gate{V}",
"\\gate{P}",
"\\gate{R}",
"\\gate{S}",
"\\gate{D}",
],
["\\qw"] * 2 +
["\\targ", "\\gate{Z}", "\\ghost{BS}", "\\ghost{S}", "\\gate{K}"] +
["\\qw"] * 6,
["\\qw"] * 13,
]
assert drawer._circuit_matrix == expected_circuit_matrix
def test_cx(self, tmpdir):
prog = sf.Program(3)
with prog.context as q:
ops.CXgate(1) | (q[0], q[1])
cx_test_output = dedent(r""" \documentclass{article}
\usepackage{qcircuit}
\begin{document}
\Qcircuit {
& \ctrl{1} & \qw \\
& \targ & \qw \\
& \qw & \qw \\
}
\end{document}""")
result = prog.draw_circuit(tex_dir=tmpdir)[1]
assert result == cx_test_output, failure_message(
result, cx_test_output)
def test_cx(self, tmpdir):
eng, q = sf.Engine(3)
with eng:
ops.CXgate(1) | (q[0], q[1])
cx_test_output = dedent(r""" \documentclass{article}
\usepackage{qcircuit}
\begin{document}
\Qcircuit {
& \ctrl{1} & \qw \\
& \targ & \qw \\
& \qw & \qw \\
}
\end{document}""")
result = eng.draw_circuit(print_queued_ops=True, tex_dir=tmpdir)[1]
assert result == cx_test_output, failure_message(
result, cx_test_output)
def test_CXgate_decomp_equal(self, setup_eng, s, tol):
"""Tests that the CXgate gives the same transformation as its decomposition."""
eng, prog = setup_eng(2)
r = np.arcsinh(-s / 2)
y = -1 / np.cosh(r)
x = -np.tanh(r)
theta = np.arctan2(y, x) / 2
with prog.context as q:
ops.CXgate(s) | q
# run decomposition with reversed arguments
ops.BSgate(-(np.pi / 2 + theta), 0) | q
ops.Sgate(r, np.pi) | q[0]
ops.Sgate(r, 0) | q[1]
ops.BSgate(-theta, 0) | q
eng.run(prog)
assert np.all(eng.backend.is_vacuum(tol))
