test: circuit execution

tests/test_circuit_execution.py

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+import math
+
+import pytest
+from qibo import Circuit, gates, hamiltonians
+from qibo.symbols import X, Z
+
+from qibotn.backends.qmatchatea import QMatchaTeaBackend
+
+
+def build_observable(nqubits):
+    """Helper function to construct a target observable."""
+    hamiltonian_form = 0
+    for i in range(nqubits):
+        hamiltonian_form += 0.5 * X(i % nqubits) * Z((i + 1) % nqubits)
+
+    hamiltonian = hamiltonians.SymbolicHamiltonian(form=hamiltonian_form)
+    return hamiltonian, hamiltonian_form
+
+
+def build_GHZ(nqubits):
+    """Helper function to construct a layered quantum circuit."""
+    circ = Circuit(nqubits)
+    circ.add(gates.H(0))
+    [circ.add(gates.CNOT(q, q + 1)) for q in range(nqubits - 1)]
+    return circ
+
+
+def construct_targets(nqubits):
+    """Construct strings of 1s and 0s of size `nqubits`."""
+    ones = "1" * nqubits
+    zeros = "0" * nqubits
+    return ones, zeros
+
+
+@pytest.mark.parametrize("nqubits", [2, 10, 40])
+def test_probabilities(backend, nqubits):
+
+    circ = build_GHZ(nqubits=nqubits)
+    ones, zeros = construct_targets(nqubits)
+
+    if isinstance(backend, QMatchaTeaBackend):
+        # unbiased prob
+        out_u = backend.execute_circuit(
+            circuit=circ,
+            prob_type="U",
+            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)
+
+        out_g = backend.execute_circuit(
+            circuit=circ,
+            prob_type="G",
+            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)
+
+        out_e = backend.execute_circuit(
+            circuit=circ,
+            prob_type="E",
+            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)
+
+
+@pytest.mark.parametrize("nqubits", [2, 10, 40])
+@pytest.mark.parametrize("nshots", [100, 1000])
+def test_shots(backend, nqubits, nshots):
+    circ = build_GHZ(nqubits=nqubits)
+    ones, zeros = construct_targets(nqubits)
+
+    # For p = 0.5, sigma = sqrt(nshots * 0.5 * 0.5) = sqrt(nshots)/2.
+    sigma_threshold = 3 * (math.sqrt(nshots) / 2)
+
+    outcome = backend.execute_circuit(circ, nshots=nshots)
+    frequencies = outcome.frequencies()
+
+    shots_ones = frequencies.get(ones, 0)
+    shots_zeros = frequencies.get(zeros, 0)
+
+    # Check that the counts for both outcomes are within the 3-sigma threshold of nshots/2.
+    assert (
+        abs(shots_ones - (nshots / 2)) < sigma_threshold
+    ), f"Count for {ones} deviates too much: {shots_ones} vs expected {nshots/2}"
+    assert (
+        abs(shots_zeros - (nshots / 2)) < sigma_threshold
+    ), f"Count for {zeros} deviates too much: {shots_zeros} vs expected {nshots/2}"