Flat tensor wires (#53)

* Changing to processing flat wire sequences

* Require master version of PL

* Docstring

* Rephrase test name

* Pinning pennylane>=0.10

* Increase tol

* Update tests/test_qpu.py

Co-authored-by: Josh Izaac <josh146@gmail.com>

pennylane_forest/qpu.py

@@ -183,7 +183,7 @@ def expval(self, observable):
                 # the product of PauliZ operators on those qubits
                 pauli_obs = sI()
                 for wire in observable.wires:
-                    qubit = wire[0]
+                    qubit = wire
                     pauli_obs *= sZ(self.wiring[qubit])
 
 
@@ -202,10 +202,7 @@ def expval(self, observable):
 
             if self.readout_error is not None:
                 for wire in observable.wires:
-                    if isinstance(wire, int):
-                        qubit = wire
-                    elif isinstance(wire, List):
-                        qubit = wire[0]
+                    qubit = wire
                     prep_prog.define_noisy_readout(
                         self.wiring[qubit], p00=self.readout_error[0], p11=self.readout_error[1]
                     )

requirements.txt

@@ -1,4 +1,4 @@
 pyquil>=2.16
-pennylane>=0.9
+pennylane>=0.10
 networkx
 flaky

tests/test_qpu.py

@@ -60,7 +60,7 @@ def test_qpu_args(self):
     @pytest.mark.parametrize(
         "obs", [qml.PauliX(0), qml.PauliZ(0), qml.PauliY(0), qml.Hadamard(0), qml.Identity(0)]
     )
-    def test_tensor_wires_expval_parametric_compilation(self, obs):
+    def test_tensor_expval_parametric_compilation(self, obs):
         """Test the QPU expval method for Tensor observables made up of a single observable when parametric compilation is
         turned on.
 
@@ -107,7 +107,7 @@ def circuit_obs(param):
     @pytest.mark.parametrize(
         "obs", [qml.PauliX(0), qml.PauliZ(0), qml.PauliY(0), qml.Hadamard(0), qml.Identity(0)]
     )
-    def test_tensor_wires_expval_operator_estimation(self, obs):
+    def test_tensor_expval_operator_estimation(self, obs):
         """Test the QPU expval method for Tensor observables made up of a single observable when parametric compilation is
         turned off allowing operator estimation.
 
@@ -366,7 +366,7 @@ def circuit():
 
         result = circuit()
 
-        assert np.isclose(result, 0.5, atol=2e-2)
+        assert np.isclose(result, 0.5, atol=3e-2)
 
     @flaky(max_runs=5, min_passes=3)
     def test_2q_gate(self):