Replace __fixed_parameters__ with analysis option

qiskit_experiments/curve_analysis/curve_analysis.py

@@ -47,6 +47,7 @@
     ExperimentData,
     AnalysisResultData,
     Options,
+    AnalysisConfig,
 )
 
 PARAMS_ENTRY_PREFIX = "@Parameters_"
@@ -233,13 +234,22 @@ class AnalysisExample(CurveAnalysis):
     #: List[SeriesDef]: List of mapping representing a data series
     __series__ = list()
 
-    #: List[str]: Fixed parameter in fit function. Value should be set to the analysis options.
-    __fixed_parameters__ = list()
-
     def __init__(self):
         """Initialize data fields that are privately accessed by methods."""
         super().__init__()
 
+        if hasattr(self, "__fixed_parameters__"):
+            warnings.warn(
+                "The class attribute __fixed_parameters__ has been deprecated and will be removed. "
+                "Now this attribute is absorbed in analysis options as fixed_parameters.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+            # pylint: disable=no-member
+            self._options.fixed_parameters = {
+                p: self.options.get(p, None) for p in self.__fixed_parameters__
+            }
+
         #: Dict[str, Any]: Experiment metadata
         self.__experiment_metadata = None
 
@@ -271,21 +281,12 @@ def _fit_params(cls) -> List[str]:
             )
 
         # remove the first function argument. this is usually x, i.e. not a fit parameter.
-        fit_params = list(list(fsigs)[0].parameters.keys())[1:]
-
-        # remove fixed parameters
-        if cls.__fixed_parameters__ is not None:
-            for fixed_param in cls.__fixed_parameters__:
-                try:
-                    fit_params.remove(fixed_param)
-                except ValueError as ex:
-                    raise AnalysisError(
-                        f"Defined fixed parameter {fixed_param} is not a fit function argument."
-                        "Update series definition to ensure the parameter name is defined with "
-                        f"fit functions. Currently available parameters are {fit_params}."
-                    ) from ex
-
-        return fit_params
+        return list(list(fsigs)[0].parameters.keys())[1:]
+
+    @property
+    def parameters(self) -> List[str]:
+        """Return parameters of this curve analysis."""
+        return [s for s in self._fit_params() if s not in self.options.fixed_parameters]
 
     @classmethod
     def _default_options(cls) -> Options:
@@ -339,6 +340,9 @@ def _default_options(cls) -> Options:
                 as extra information.
             curve_fitter_options (Dict[str, Any]) Options that are passed to the
                 specified curve fitting function.
+            fixed_parameters (Dict[str, Any]): Fitting model parameters that are fixed
+                during the curve fitting. This should be provided with default value
+                keyed on one of the parameter names in the series definition.
         """
         options = super()._default_options()
 
@@ -360,11 +364,9 @@ def _default_options(cls) -> Options:
         options.style = PlotterStyle()
         options.extra = dict()
         options.curve_fitter_options = dict()
-
-        # automatically populate initial guess and boundary
-        fit_params = cls._fit_params()
-        options.p0 = {par_name: None for par_name in fit_params}
-        options.bounds = {par_name: None for par_name in fit_params}
+        options.p0 = {}
+        options.bounds = {}
+        options.fixed_parameters = {}
 
         return options
 
@@ -754,16 +756,15 @@ def _run_analysis(
         #
 
         # Update all fit functions in the series definitions if fixed parameter is defined.
-        # Fixed parameters should be provided by the analysis options.
-        if self.__fixed_parameters__:
-            assigned_params = {k: self.options.get(k, None) for k in self.__fixed_parameters__}
+        assigned_params = self.options.fixed_parameters
 
+        if assigned_params:
             # Check if all parameters are assigned.
             if any(v is None for v in assigned_params.values()):
                 raise AnalysisError(
                     f"Unassigned fixed-value parameters for the fit "
                     f"function {self.__class__.__name__}."
-                    f"All values of fixed-parameters, i.e. {self.__fixed_parameters__}, "
+                    f"All values of fixed-parameters, i.e. {assigned_params}, "
                     "must be provided by the analysis options to run this analysis."
                 )
 
@@ -815,7 +816,7 @@ def _run_analysis(
 
         # Generate algorithmic initial guesses and boundaries
         default_fit_opt = FitOptions(
-            parameters=self._fit_params(),
+            parameters=self.parameters,
             default_p0=self.options.p0,
             default_bounds=self.options.bounds,
             **self.options.curve_fitter_options,
@@ -964,6 +965,31 @@ def _run_analysis(
 
         return analysis_results, figures
 
+    @classmethod
+    def from_config(cls, config: Union[AnalysisConfig, Dict]) -> "CurveAnalysis":
+        instance = super().from_config(config)
+
+        # When fixed param value is hard-coded as options. This is deprecated data structure.
+        loaded_opts = instance.options.__dict__
+
+        # pylint: disable=no-member
+        deprecated_fixed_params = {
+            p: loaded_opts[p] for p in instance.parameters if p in loaded_opts
+        }
+        if any(deprecated_fixed_params):
+            warnings.warn(
+                "Fixed parameter value should be defined in options.fixed_parameters as "
+                "a dictionary values, rather than a standalone analysis option. "
+                "Please re-save this experiment to be loaded after deprecation period.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+            new_fixed_params = instance.options.fixed_parameters
+            new_fixed_params.update(deprecated_fixed_params)
+            instance.set_options(fixed_parameters=new_fixed_params)
+
+        return instance
+
 
 def is_error_not_significant(
     val: Union[float, uncertainties.UFloat],

qiskit_experiments/curve_analysis/standard_analysis/error_amplification_analysis.py

@@ -105,24 +105,15 @@ def _default_options(cls):
         descriptions of analysis options.
 
         Analysis Options:
-            angle_per_gate (float): The ideal angle per repeated gate.
-                The user must set this option as it defaults to None.
-            phase_offset (float): A phase offset for the analysis. This phase offset will be
-                :math:`\pi/2` if the square-root of X gate is added before the repeated gates.
-                This is decided for the user in :meth:`set_schedule` depending on whether the
-                sx gate is included in the experiment.
             max_good_angle_error (float): The maximum angle error for which the fit is
                 considered as good. Defaults to :math:`\pi/2`.
         """
         default_options = super()._default_options()
         default_options.result_parameters = ["d_theta"]
         default_options.xlabel = "Number of gates (n)"
         default_options.ylabel = "Population"
-        default_options.angle_per_gate = None
-        default_options.phase_offset = 0.0
-        default_options.max_good_angle_error = np.pi / 2
-        default_options.amp = 1.0
         default_options.ylim = [0, 1.0]
+        default_options.max_good_angle_error = np.pi / 2
 
         return default_options
 
@@ -140,6 +131,8 @@ def _generate_fit_guesses(
         Raises:
             CalibrationError: When ``angle_per_gate`` is missing.
         """
+        fixed_params = self.options.fixed_parameters
+
         curve_data = self._data()
         max_abs_y, _ = curve.guess.max_height(curve_data.y, absolute=True)
         max_y, min_y = np.max(curve_data.y), np.min(curve_data.y)
@@ -152,16 +145,19 @@ def _generate_fit_guesses(
         if "amp" in user_opt.p0:
             user_opt.p0.set_if_empty(amp=max_y - min_y)
             user_opt.bounds.set_if_empty(amp=(0, 2 * max_abs_y))
+            amp = user_opt.p0["amp"]
+        else:
+            # Fixed parameter
+            amp = fixed_params.get("amp", 1.0)
 
         # Base the initial guess on the intended angle_per_gate and phase offset.
-        apg = self.options.angle_per_gate
-        phi = self.options.phase_offset
+        apg = user_opt.p0.get("angle_per_gate", fixed_params.get("angle_per_gate", 0.0))
+        phi = user_opt.p0.get("phase_offset", fixed_params.get("phase_offset", 0.0))
 
         # Prepare logical guess for specific condition (often satisfied)
         d_theta_guesses = []
 
         offsets = apg * curve_data.x + phi
-        amp = user_opt.p0.get("amp", self.options.amp)
         for i in range(curve_data.x.size):
             xi = curve_data.x[i]
             yi = curve_data.y[i]

qiskit_experiments/library/calibration/fine_amplitude.py

@@ -171,9 +171,10 @@ def __init__(
             auto_update=auto_update,
         )
         self.analysis.set_options(
-            angle_per_gate=np.pi,
-            phase_offset=np.pi / 2,
-            amp=1,
+            fixed_parameters={
+                "angle_per_gate": np.pi,
+                "phase_offset": np.pi / 2,
+            }
         )
 
     @classmethod
@@ -222,8 +223,10 @@ def __init__(
             auto_update=auto_update,
         )
         self.analysis.set_options(
-            angle_per_gate=np.pi / 2,
-            phase_offset=np.pi,
+            fixed_parameters={
+                "angle_per_gate": np.pi / 2,
+                "phase_offset": np.pi,
+            }
         )
 
     @classmethod

qiskit_experiments/library/characterization/analysis/fine_amplitude_analysis.py

@@ -58,5 +58,3 @@ class FineAmplitudeAnalysis(ErrorAmplificationAnalysis):
             filter_kwargs={"series": 1},
         ),
     ]
-
-    __fixed_parameters__ = ["angle_per_gate", "phase_offset"]

qiskit_experiments/library/characterization/analysis/fine_drag_analysis.py

@@ -12,6 +12,8 @@
 
 """Fine DRAG calibration analysis."""
 
+import warnings
+
 import numpy as np
 from qiskit_experiments.curve_analysis import ErrorAmplificationAnalysis
 from qiskit_experiments.framework import Options
@@ -32,6 +34,16 @@ class FineDragAnalysis(ErrorAmplificationAnalysis):
 
     __fixed_parameters__ = ["angle_per_gate", "phase_offset", "amp"]
 
+    def __init__(self):
+        super().__init__()
+
+        warnings.warn(
+            f"{self.__class__.__name__} has been deprecated. Use ErrorAmplificationAnalysis "
+            "instance with the analysis options involving the fixed_parameters.",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+
     @classmethod
     def _default_options(cls) -> Options:
         """Default analysis options."""

qiskit_experiments/library/characterization/analysis/fine_frequency_analysis.py

@@ -12,6 +12,8 @@
 
 """Fine frequency experiment analysis."""
 
+import warnings
+
 import numpy as np
 
 from qiskit_experiments.curve_analysis import ErrorAmplificationAnalysis
@@ -33,6 +35,16 @@ class FineFrequencyAnalysis(ErrorAmplificationAnalysis):
 
     __fixed_parameters__ = ["angle_per_gate", "phase_offset"]
 
+    def __init__(self):
+        super().__init__()
+
+        warnings.warn(
+            f"{self.__class__.__name__} has been deprecated. Use ErrorAmplificationAnalysis "
+            "instance with the analysis options involving the fixed_parameters.",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+
     @classmethod
     def _default_options(cls) -> Options:
         """Default analysis options."""

qiskit_experiments/library/characterization/analysis/fine_half_angle_analysis.py

@@ -12,6 +12,8 @@
 
 """Fine half angle calibration analysis."""
 
+import warnings
+
 import numpy as np
 from qiskit_experiments.framework import Options
 from qiskit_experiments.curve_analysis import ErrorAmplificationAnalysis, ParameterRepr
@@ -31,6 +33,16 @@ class FineHalfAngleAnalysis(ErrorAmplificationAnalysis):
 
     __fixed_parameters__ = ["angle_per_gate", "phase_offset", "amp"]
 
+    def __init__(self):
+        super().__init__()
+
+        warnings.warn(
+            f"{self.__class__.__name__} has been deprecated. Use ErrorAmplificationAnalysis "
+            "instance with the analysis options involving the fixed_parameters.",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+
     @classmethod
     def _default_options(cls) -> Options:
         r"""Default analysis options.

qiskit_experiments/library/characterization/fine_amplitude.py

@@ -253,9 +253,10 @@ def __init__(self, qubit: int, backend: Optional[Backend] = None):
         super().__init__([qubit], XGate(), backend=backend)
         # Set default analysis options
         self.analysis.set_options(
-            angle_per_gate=np.pi,
-            phase_offset=np.pi / 2,
-            amp=1,
+            fixed_parameters={
+                "angle_per_gate": np.pi,
+                "phase_offset": np.pi / 2,
+            }
         )
 
     @classmethod
@@ -290,8 +291,10 @@ def __init__(self, qubit: int, backend: Optional[Backend] = None):
         super().__init__([qubit], SXGate(), backend=backend)
         # Set default analysis options
         self.analysis.set_options(
-            angle_per_gate=np.pi / 2,
-            phase_offset=np.pi,
+            fixed_parameters={
+                "angle_per_gate": np.pi / 2,
+                "phase_offset": np.pi,
+            }
         )
 
     @classmethod
@@ -353,9 +356,10 @@ def __init__(self, qubits: Sequence[int], backend: Optional[Backend] = None):
         super().__init__(qubits, gate, backend=backend, measurement_qubits=[qubits[1]])
         # Set default analysis options
         self.analysis.set_options(
-            angle_per_gate=np.pi / 2,
-            phase_offset=np.pi,
-            amp=1,
+            fixed_parameters={
+                "angle_per_gate": np.pi / 2,
+                "phase_offset": np.pi,
+            },
             outcome="1",
         )
 

qiskit_experiments/library/characterization/fine_drag.py

@@ -20,9 +20,7 @@
 from qiskit.circuit.library import XGate, SXGate
 from qiskit.providers.backend import Backend
 from qiskit_experiments.framework import BaseExperiment, Options
-from qiskit_experiments.library.characterization.analysis import (
-    FineDragAnalysis,
-)
+from qiskit_experiments.curve_analysis.standard_analysis import ErrorAmplificationAnalysis
 
 
 class FineDrag(BaseExperiment):
@@ -126,7 +124,7 @@ class FineDrag(BaseExperiment):
         This is the correction formula in the FineDRAG Updater.
 
     # section: analysis_ref
-        :py:class:`FineDragAnalysis`
+        :py:class:`~qiskit_experiments.curve_analysis.ErrorAmplificationAnalysis`
 
     # section: see_also
         qiskit_experiments.library.calibration.drag.DragCal
@@ -161,7 +159,17 @@ def __init__(self, qubit: int, gate: Gate, backend: Optional[Backend] = None):
             gate: The gate that will be repeated.
             backend: Optional, the backend to run the experiment on.
         """
-        super().__init__([qubit], analysis=FineDragAnalysis(), backend=backend)
+        analysis = ErrorAmplificationAnalysis()
+        analysis.set_options(
+            normalization=True,
+            fixed_parameters={
+                "angle_per_gate": 0.0,
+                "phase_offset": np.pi / 2,
+                "amp": 1.0,
+            },
+        )
+
+        super().__init__([qubit], analysis=analysis, backend=backend)
         self.set_experiment_options(gate=gate)
 
     @staticmethod