Remove 0.5 deprecations (#1186)

### Summary

This PR removes objects scheduled for removal after the 0.5 release and
switches deprecation wrappers to the new Terra wrappers introduced in
0.24.

### Details and comments

- Note that deprecating dataclasses will cause the docs to render their
fields as `*args` and `**kwargs` at present. This is being tracked in
Qiskit/qiskit#10144.
- Tests using `block_for_results()` have also switched to
`assertExperimentDone()` where possible.
- Adds 0.3.1 release notes back in release notes for 0.4.

Author: coruscating

CONTRIBUTING.md

@@ -354,35 +354,26 @@ minor releases and not on patch releases.
 
 #### Adding deprecation warnings
 
-We have a deprecation decorator for showing deprecation warnings. To
-deprecate a function, for example:
+We use the deprecation wrappers in [Qiskit
+Utilities](https://qiskit.org/documentation/apidoc/utils.html) to add warnings:
 
 ```python
 
-  from qiskit_experiments.warnings import deprecated_function
+  from qiskit.utils.deprecation import deprecate_func
 
-  @deprecated_function(last_version="0.3", msg="Use new_function instead.")
+  @deprecate_func(
+      since="0.5",
+      additional_msg="Use ``new_function`` instead.",
+      removal_timeline="after 0.7",
+      package_name="qiskit-experiments",
+  )
   def old_function(*args, **kwargs):
       pass
+  
   def new_function(*args, **kwargs):
       pass
 ```
 
-To deprecate a class:
-
-```python
-  from qiskit_experiments.warnings import deprecated_class
-
-  @deprecated_class(last_version="0.3", new_cls=NewCls)
-  class OldClass:
-      pass
-  class NewClass:
-      pass
-```
-
-This will inform the user which version of Qiskit Experiments will remove the deprecated
-class or function.
-
 ### Development cycle
 
 The development cycle for Qiskit Experiments is all handled in the open using project

docs/manuals/characterization/t2hahn.rst

@@ -125,7 +125,7 @@ computed for other qubits.
 
 .. jupyter-execute::
 
-    exp_with_p0 = T2Hahn(physical_qubits=[qubit], delays=delays, num_echoes=number_of_echoes)
+    exp_with_p0 = T2Hahn(physical_qubits=(qubit,), delays=delays, num_echoes=number_of_echoes)
     exp_with_p0.analysis.set_options(p0={"amp": 0.5, "tau": estimated_t2hahn, "base": 0.5})
     expdata_with_p0 = exp_with_p0.run(backend=backend, shots=2000, seed_simulator=101)
     expdata_with_p0.block_for_results()
@@ -190,13 +190,13 @@ total delay time.
     estimated_t2hahn2 = 30 * conversion_factor
 
     # Create a T2Hahn experiment with 0 echoes
-    exp2_0echoes = T2Hahn([qubit2], delays2, num_echoes=0)
+    exp2_0echoes = T2Hahn((qubit2,), delays2, num_echoes=0)
     exp2_0echoes.analysis.set_options(p0={"amp": 0.5, "tau": estimated_t2hahn2, "base": 0.5})
     print("The first circuit of hahn echo experiment with 0 echoes:")
     print(exp2_0echoes.circuits()[0])
 
     # Create a T2Hahn experiment with 1 echo. Print the first circuit as an example
-    exp2_1echoes = T2Hahn([qubit2], delays3, num_echoes=num_echoes)
+    exp2_1echoes = T2Hahn((qubit2,), delays3, num_echoes=num_echoes)
     exp2_1echoes.analysis.set_options(p0={"amp": 0.5, "tau": estimated_t2hahn2, "base": 0.5})
     print("The first circuit of hahn echo experiment with 1 echo:")
     print(exp2_1echoes.circuits()[0])

docs/manuals/measurement/restless_measurements.rst

@@ -74,7 +74,7 @@ they use always starts with the qubits in the ground state.
 
     # Define the experiment
     qubit = 2
-    cal_drag = RoughDragCal(qubit, cals, schedule_name='sx', backend=backend)
+    cal_drag = RoughDragCal((qubit,), cals, schedule_name='sx', backend=backend)
 
     # Enable restless measurements by setting the run options and data processor
     cal_drag.enable_restless(rep_delay=1e-6)
@@ -111,7 +111,7 @@ the standard data processor by providing it to the analysis options and telling
     # define a standard data processor.
     standard_processor = DataProcessor("counts", [Probability("1")])
 
-    cal_drag = RoughDragCal(qubit, cals, schedule_name='sx', backend=backend)
+    cal_drag = RoughDragCal((qubit,), cals, schedule_name='sx', backend=backend)
     cal_drag.analysis.set_options(data_processor=standard_processor)
 
     # enable restless mode and set override_processor_by_restless to False.
@@ -162,7 +162,7 @@ using the code below.
 
     dt = BackendData(backend).dt
     inst_map = backend.instruction_schedule_map
-    meas_length = inst_map.get("measure", (qubit, )).duration * dt
+    meas_length = inst_map.get("measure", (qubit,)).duration * dt
 
     # Compute the average duration of all circuits
     # Remove measurement instructions

docs/manuals/verification/randomized_benchmarking.rst

@@ -175,7 +175,7 @@ The EPGs of two-qubit RB are analyzed with the corrected EPC if available.
     # Run a 1-qubit RB experiment on qubits 1, 2 to determine the error-per-gate of 1-qubit gates
     single_exps = BatchExperiment(
         [
-            StandardRB([qubit], lengths_1_qubit, num_samples=num_samples, seed=seed)
+            StandardRB((qubit,), lengths_1_qubit, num_samples=num_samples, seed=seed)
             for qubit in qubits
         ],
         flatten_results=True,

docs/manuals/verification/state_tomography.rst

@@ -168,7 +168,7 @@ For example if we want to perform 1-qubit QST on several qubits at once:
              for i in range(num_qubits)]
 
     subexps = [
-        StateTomography(gate, physical_qubits=[i])
+        StateTomography(gate, physical_qubits=(i,))
         for i, gate in enumerate(gates)
     ]
     parexp = ParallelExperiment(subexps)

docs/tutorials/calibrations.rst

@@ -166,7 +166,7 @@ Instantiate the experiment and draw the first circuit in the sweep:
 
     freq01_estimate = backend.defaults().qubit_freq_est[qubit]
     frequencies = np.linspace(freq01_estimate-15e6, freq01_estimate+15e6, 51)
-    spec = RoughFrequencyCal([qubit], cals, frequencies, backend=backend)
+    spec = RoughFrequencyCal((qubit,), cals, frequencies, backend=backend)
     spec.set_experiment_options(amp=0.005)
 
 .. jupyter-execute::
@@ -391,7 +391,7 @@ over/under rotations is the highest.
 
 .. jupyter-execute::
 
-    overamp_exp = FineXAmplitude(qubit, backend=backend)
+    overamp_exp = FineXAmplitude((qubit,), backend=backend)
     overamp_exp.set_transpile_options(inst_map=inst_map)
     overamp_exp.circuits()[4].draw(output='mpl')
 
@@ -415,7 +415,7 @@ experiment detects this error. We will compare the results to the over-rotation
     inst_map.add("x", (qubit,), x_under)
 
     # do the experiment
-    underamp_exp = FineXAmplitude(qubit, backend=backend)
+    underamp_exp = FineXAmplitude((qubit,), backend=backend)
     underamp_exp.set_transpile_options(inst_map=inst_map)
 
     exp_data_under = underamp_exp.run(backend).block_for_results()
@@ -459,7 +459,7 @@ error which we want to correct.
 
     from qiskit_experiments.library import FineSXAmplitudeCal
 
-    amp_cal = FineSXAmplitudeCal([qubit], cals, backend=backend, schedule_name="sx")
+    amp_cal = FineSXAmplitudeCal((qubit,), cals, backend=backend, schedule_name="sx")
     amp_cal.circuits()[4].draw(output="mpl")
 
 Let's run the calibration experiment:

docs/tutorials/data_processor.rst

@@ -88,7 +88,7 @@ The code below sets up the Rabi experiment.
     backend = SingleTransmonTestBackend(seed=100)
 
     exp = Rabi(
-        qubit=0,
+        physical_qubits=(0,),
         backend=backend,
         schedule=sched,
         amplitudes=np.linspace(-0.1, 0.1, 21)

qiskit_experiments/curve_analysis/__init__.py

@@ -81,9 +81,6 @@
     fit_function.sqrt_lorentzian
     fit_function.sin
     fit_function.sin_decay
-    fit_function.bloch_oscillation_x
-    fit_function.bloch_oscillation_y
-    fit_function.bloch_oscillation_z
 
 Initial Guess Estimators
 ========================
@@ -129,8 +126,6 @@
     SeriesDef,
 )
 from .curve_fit import (
-    curve_fit,
-    multi_curve_fit,
     process_curve_data,
     process_multi_curve_data,
 )

qiskit_experiments/curve_analysis/base_curve_analysis.py

@@ -20,6 +20,8 @@
 
 import lmfit
 
+from qiskit.utils.deprecation import deprecate_func
+
 from qiskit_experiments.data_processing import DataProcessor
 from qiskit_experiments.data_processing.processor_library import get_processor
 from qiskit_experiments.framework import (
@@ -35,7 +37,6 @@
     LegacyCurveCompatDrawer,
     MplDrawer,
 )
-from qiskit_experiments.warnings import deprecated_function
 
 from .curve_data import CurveData, CurveFitResult, ParameterRepr
 
@@ -131,9 +132,11 @@ def plotter(self) -> BasePlotter:
         return self._options.plotter
 
     @property
-    @deprecated_function(
-        last_version="0.6",
-        msg="Replaced by `plotter` from the new visualization submodule.",
+    @deprecate_func(
+        since="0.5",
+        additional_msg="Use `plotter` from the new visualization module.",
+        removal_timeline="after 0.6",
+        package_name="qiskit-experiments",
     )
     def drawer(self) -> BaseDrawer:
         """A short-cut for curve drawer instance, if set. ``None`` otherwise."""

qiskit_experiments/curve_analysis/composite_curve_analysis.py

@@ -21,6 +21,8 @@
 import numpy as np
 from uncertainties import unumpy as unp
 
+from qiskit.utils.deprecation import deprecate_func
+
 from qiskit_experiments.framework import (
     AnalysisResultData,
     BaseAnalysis,
@@ -34,7 +36,6 @@
     LegacyCurveCompatDrawer,
     MplDrawer,
 )
-from qiskit_experiments.warnings import deprecated_function
 
 from .base_curve_analysis import PARAMS_ENTRY_PREFIX, BaseCurveAnalysis
 from .curve_data import CurveFitResult
@@ -142,9 +143,11 @@ def plotter(self) -> BasePlotter:
         return self._options.plotter
 
     @property
-    @deprecated_function(
-        last_version="0.6",
-        msg="Replaced by `plotter` from the new visualization submodule.",
+    @deprecate_func(
+        since="0.5",
+        additional_msg="Use `plotter` from the new visualization module instead.",
+        removal_timeline="after 0.6",
+        package_name="qiskit-experiments",
     )
     def drawer(self) -> BaseDrawer:
         """A short-cut for curve drawer instance, if set. ``None`` otherwise."""