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refactor: probabilities are now returned as an array, being aligned with Qibo

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MatteoRobbiati
2025-02-10 10:23:01 +01:00
parent d959c95535
commit 3e9189e49f
2 changed files with 9 additions and 10 deletions
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13
tests/test_circuit_execution.py
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@@ -36,7 +36,6 @@ def construct_targets(nqubits):
def test_probabilities(backend, nqubits):
circ = build_GHZ(nqubits=nqubits)
ones, zeros = construct_targets(nqubits)
if isinstance(backend, QMatchaTeaBackend):
# unbiased prob
@@ -46,8 +45,8 @@ def test_probabilities(backend, nqubits):
num_samples=1000,
).probabilities()
math.isclose(out_u[ones], 0.5, abs_tol=1e-7)
math.isclose(out_u[zeros], 0.5, abs_tol=1e-7)
math.isclose(out_u[0], 0.5, abs_tol=1e-7)
math.isclose(out_u[1], 0.5, abs_tol=1e-7)
out_g = backend.execute_circuit(
circuit=circ,
@@ -55,8 +54,8 @@ def test_probabilities(backend, nqubits):
prob_threshold=1.0,
).probabilities()
math.isclose(out_g[ones], 0.5, abs_tol=1e-7)
math.isclose(out_g[zeros], 0.5, abs_tol=1e-7)
math.isclose(out_g[0], 0.5, abs_tol=1e-7)
math.isclose(out_g[1], 0.5, abs_tol=1e-7)
out_e = backend.execute_circuit(
circuit=circ,
@@ -64,8 +63,8 @@ def test_probabilities(backend, nqubits):
prob_threshold=0.2,
).probabilities()
math.isclose(out_e[ones], 0.5, abs_tol=1e-7)
math.isclose(out_e[zeros], 0.5, abs_tol=1e-7)
math.isclose(out_e[0], 0.5, abs_tol=1e-7)
math.isclose(out_e[1], 0.5, abs_tol=1e-7)
@pytest.mark.parametrize("nqubits", [2, 10, 40])