fix bugs in doc for doctest

doc/source/qip-processor.rst

@@ -24,8 +24,8 @@ Like a real quantum device, the processor is determined by a list of Hamiltonian
 
     processor = Processor(2)
     processor.add_control(sigmaz(), cyclic_permutation=True)  # sigmaz for all qubits
-    processor.pulses[0].coeffs = np.array([[1.0, 1.5, 2.0], [1.8, 1.3, 0.8]])
-    processor.pulses[0].tlist = np.array([0.1, 0.2, 0.4, 0.5])
+    processor.set_coeffs = np.array([[1.0, 1.5, 2.0], [1.8, 1.3, 0.8]])
+    processor.set_tlist = np.array([0.1, 0.2, 0.4, 0.5])
 
 It defines a :math:`\sigma_z` operator on both qubits and a pulse that acts on the first qubit.
 An equivalent approach is using the :meth:`.Processor.add_pulse` method.
@@ -159,19 +159,19 @@ To let it find the optimal pulses, we need to give the parameters for :func:`~qu
 
 
       # Same parameter for all the gates
-      qc = QubitCircuit(N=1)
+      qc = QubitCircuit(1)
       qc.add_gate("SNOT", 0)
 
       num_tslots = 10
       evo_time = 10
-      processor = OptPulseProcessor(N=1, drift=sigmaz())
+      processor = OptPulseProcessor(1, drift=sigmaz())
       processor.add_control(sigmax())
       # num_tslots and evo_time are two keyword arguments
       tlist, coeffs = processor.load_circuit(
       qc, num_tslots=num_tslots, evo_time=evo_time)
 
       # Different parameters for different gates
-      qc = QubitCircuit(N=2)
+      qc = QubitCircuit(2)
       qc.add_gate("SNOT", 0)
       qc.add_gate("SWAP", targets=[0, 1])
       qc.add_gate('CNOT', controls=1, targets=[0])
@@ -212,8 +212,7 @@ It is called implicitly when calling the method
     qc.add_gate("X", targets=1)
 
     processor = LinearSpinChain(2)
-    compiler = SpinChainCompiler(
-        2, params=processor.params, pulse_dict=processor.pulse_dict)
+    compiler = SpinChainCompiler(2, params=processor.params)
     resolved_qc = qc.resolve_gates(["RX", "RZ", "ISWAP"])
     tlists, coeffs = compiler.compile(resolved_qc)
     print(tlists)

src/qutip_qip/device/optpulseprocessor.py

@@ -45,12 +45,12 @@ class OptPulseProcessor(Processor):
             A list of size `num_qubits` or a float for all qubits.
     """
 
-    def __init__(self, num_qubits, drift=None, dims=None, **params):
+    def __init__(self, num_qubits=None, drift=None, dims=None, **params):
         super(OptPulseProcessor, self).__init__(
             num_qubits, dims=dims, **params
         )
         if drift is not None:
-            self.add_drift(drift, list(range(num_qubits)))
+            self.add_drift(drift, list(range(self.num_qubits)))
         self.spline_kind = "step_func"
 
     def load_circuit(
@@ -77,11 +77,11 @@ def load_circuit(
 
         >>> from qutip_qip.circuit import QubitCircuit
         >>> from qutip_qip.device import OptPulseProcessor
-        >>> qc = QubitCircuit(num_qubits=1)
+        >>> qc = QubitCircuit(1)
         >>> qc.add_gate("SNOT", 0)
         >>> num_tslots = 10
         >>> evo_time = 10
-        >>> processor = OptPulseProcessor(num_qubits=1, drift=sigmaz())
+        >>> processor = OptPulseProcessor(1, drift=sigmaz())
         >>> processor.add_control(sigmax())
         >>> # num_tslots and evo_time are two keyword arguments
         >>> tlist, coeffs = processor.load_circuit(\
@@ -91,12 +91,11 @@ def load_circuit(
 
         >>> from qutip_qip.circuit import QubitCircuit
         >>> from qutip_qip.device import OptPulseProcessor
-        >>> qc = QubitCircuit(num_qubits=2)
+        >>> qc = QubitCircuit(2)
         >>> qc.add_gate("SNOT", 0)
         >>> qc.add_gate("SWAP", targets=[0, 1])
         >>> qc.add_gate('CNOT', controls=1, targets=[0])
-        >>> processor = OptPulseProcessor(\
-                num_qubits=2, drift=tensor([sigmaz()]*2))
+        >>> processor = OptPulseProcessor(2, drift=tensor([sigmaz()]*2))
         >>> processor.add_control(sigmax(), cyclic_permutation=True)
         >>> processor.add_control(sigmay(), cyclic_permutation=True)
         >>> processor.add_control(tensor([sigmay(), sigmay()]))

src/qutip_qip/device/processor.py

@@ -239,7 +239,8 @@ def add_control(
             ``[0,1]``, ``[1,2]`` and ``[2,0]``.
 
         label : str, optional
-            The label (name) of the control Hamiltonian. If ``None``,
+            The hashable label (name) of the control Hamiltonian.
+            If ``None``,
             it will be set to the current number of
             control Hamiltonians in the system.
         """