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self._apply_ygate_density_matrix(gate, state, nqubits) if inverse: # used to reset the state when applying channels diff --git a/src/qibojit/backends/matrices.py b/src/qibojit/backends/matrices.py index 69b80688..6bf2ff00 100644 --- a/src/qibojit/backends/matrices.py +++ b/src/qibojit/backends/matrices.py @@ -22,6 +22,10 @@ class CuQuantumMatrices(NumpyMatrices): def CNOT(self): return self.X + @cached_property + def CY(self): + return self.Y + @cached_property def CZ(self): return self.Z diff --git a/src/qibojit/tests/test_gates.py b/src/qibojit/tests/test_gates.py index 19129ed2..0aef558e 100644 --- a/src/qibojit/tests/test_gates.py +++ b/src/qibojit/tests/test_gates.py @@ -156,6 +156,30 @@ def test_apply_two_qubit_base(backend, nqubits, targets, use_qubits, dtype): backend.assert_allclose(state, target_state, atol=ATOL.get(dtype)) +@pytest.mark.parametrize( + ("nqubits", "targets"), + [ + (2, [0, 1]), + (3, [0, 2]), + (4, [1, 3]), + (3, [1, 2]), + (4, [0, 2]), + (4, [2, 3]), + (5, [3, 4]), + (6, [1, 4]), + ], +) +def test_apply_cy(backend, nqubits, targets, dtype): + tbackend = NumpyBackend() + state = random_statevector(2**nqubits, backend=tbackend).astype(dtype) + gate = gates.CY(*targets) + + set_precision(dtype, backend, tbackend) + target_state = tbackend.apply_gate(gate, np.copy(state), nqubits) + state = backend.apply_gate(gate, np.copy(state), nqubits) + backend.assert_allclose(state, target_state, atol=ATOL.get(dtype)) + + @pytest.mark.parametrize( ("nqubits", "targets"), [