def test_measurement_entangled_state():
# 1/sqrt(2) (|0> + |1>)
c = Circuit().h[0].cx[0, 1]
for _ in range(10000):
c.run()
result = c.last_result()
assert result == (0, 0) or result == (1, 1)
def test_measurement_multiqubit1():
c = Circuit().x[0].m[1]
for _ in range(10000):
c.run()
cnt = Counter(c.run_history)
# 0-th qubit is also 0 because it is not measured.
assert cnt.most_common(1) == [((0, 0), 10000)]
def test_copy_empty():
c = Circuit()
c.run()
cc = c.copy(copy_cache=True, copy_history=True)
assert c.ops == cc.ops and c.ops is not cc.ops
assert c.cache is None and cc.cache is None
assert c.cache_idx == cc.cache_idx == -1
assert c.run_history == cc.run_history and c.run_history is not cc.run_history
def test_measurement_after_qubits1():
for _ in range(50):
c = Circuit().h[0].m[0]
a = c.run()
if c.last_result() == (0, ):
assert is_vec_same(a, np.array([1, 0]))
else:
assert is_vec_same(a, np.array([0, 1]))
def test_concat_circuit2():
c1 = Circuit()
c1.h[1]
c1.run()
c2 = Circuit()
c2.h[0]
c2.run()
c1 += c2
assert is_vec_same(c1.run(), Circuit().h[1].h[0].run())
def test_measurement_hadamard1():
n = 10000
c = Circuit().h[0].m[0]
for _ in range(n):
c.run()
cnt = Counter(c.run_history)
a, b = cnt.most_common(2)
assert a[1] + b[1] == n
# variance of binomial distribution (n -> ∞) is np(1-p)
# therefore, 2σ = 2 * sqrt(np(1-p))
two_sigma = 2 * np.sqrt(n * 0.5 * 0.5)
assert abs(a[1] - n / 2) < two_sigma
def test_measurement3():
# 75% |0> + 25% |1>
c = Circuit().rx(np.pi / 3)[0].m[0]
n = 10000
for _ in range(n):
c.run()
cnt = Counter(c.run_history)
most_common = cnt.most_common(1)[0]
assert most_common[0] == (0, )
# variance of binomial distribution (n -> ∞) is np(1-p)
# therefore, 2σ = 2 * sqrt(np(1-p))
two_sigma = 2 * np.sqrt(n * 0.75 * 0.25)
assert abs(most_common[1] - 0.75 * n) < two_sigma
def test_concat_circuit4():
c1 = Circuit()
c1.x[0]
c2 = Circuit()
c2.h[0]
c = c1 + c2
c.run()
assert is_vec_same(c.run(), Circuit().x[0].h[0].run())
assert is_vec_same(c1.run(), Circuit().x[0].run())
assert is_vec_same(c2.run(), Circuit().h[0].run())
def test_cache_then_append():
c = Circuit()
c.x[0]
c.run()
c.h[0]
c.run()
assert is_vec_same(c.run(), Circuit().x[0].h[0].run())
def test_hgate3():
assert is_vec_same(Circuit().h[:2].run(), Circuit().h[0].h[1].run())
def test_measurement2():
c = Circuit().x[0].m[0]
for _ in range(10000):
c.run()
cnt = Counter(c.run_history)
assert cnt.most_common(1) == [((1, ), 10000)]
def test_rotation1():
assert is_vec_same(
Circuit().ry(-np.pi / 2)[0].rz(np.pi / 6)[0].ry(np.pi / 2)[0].run(),
Circuit().rx(np.pi / 6)[0].run())
def test_sgate():
assert is_vec_same(Circuit().s[0].run(), Circuit().rz(np.pi / 2)[0].run())
def test_tgate():
assert is_vec_same(Circuit().t[0].run(), Circuit().rz(np.pi / 4)[0].run())
def test_rz2():
assert is_vec_same(
Circuit().h[0].rz(np.pi / 3)[0].h[1].rz(np.pi / 3)[1].run(),
Circuit().h[0, 1].rz(np.pi / 3)[:].run())
def test_rz1():
assert is_vec_same(Circuit().h[0].rz(np.pi)[0].run(),
Circuit().x[0].h[0].run())
def test_cx2():
assert is_vec_same(Circuit().x[2].cx[:4:2, 1:4:2].run(),
Circuit().x[2:4].run())
def test_cx1():
assert is_vec_same(Circuit().h[0].h[1].cx[1, 0].h[0].h[1].run(),
Circuit().cx[0, 1].run())
def test_pauli3():
assert is_vec_same(Circuit().z[0].x[0].run(), Circuit().y[0].run())
def test_caching_then_expand():
c = Circuit().h[0]
c.run()
qubits = c.i[1].run()
assert is_vec_same(qubits, Circuit().h[0].i[1].run())
def test_hgate2():
assert is_vec_same(
Circuit().x[0].h[0].run(),
np.array([1 / np.sqrt(2), -1 / np.sqrt(2)], dtype=np.complex128))
def test_hgate1():
assert is_vec_same(Circuit().h[1].h[0].run(),
np.array([0.5, 0.5, 0.5, 0.5], dtype=np.complex128))
