Cleanup and bugfix to support different primitives. (#55) (#855) (#858)

* Cleanup and bugfix for different primitives support (#55)

* Quick fix and lint for unit tests.

* Fixed a bug in ComputeUncompute and lint corrections.

* Fix formatting for algorithm tests

* Reformatting some variables to make lint compliant.

* Refactor: Cleanup code, preserve existing formatting, apply minor bug fixes, and update missing documentation

* Removing unsupported classes.

* Fix for lint

* Fix lint errors uncovered during workflow checks

* Adjust a unit test to accomodate noise-related variations

(cherry picked from commit 2f7e19c)

Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com>

Author: mergify[bot]

.pylintdict

@@ -390,6 +390,7 @@ platt
 polyfit
 postprocess
 powell
+pragma
 pre
 precompute
 precomputed

qiskit_machine_learning/gradients/__init__.py

@@ -25,11 +25,9 @@
    :nosignatures:
 
    BaseEstimatorGradient
-   BaseQGT
    BaseSamplerGradient
    EstimatorGradientResult
    SamplerGradientResult
-   QGTResult
 
 Linear Combination of Unitaries
 -------------------------------
@@ -40,7 +38,6 @@
 
    LinCombEstimatorGradient
    LinCombSamplerGradient
-   LinCombQGT
 
 Parameter Shift Rules
 ---------------------
@@ -52,16 +49,6 @@
    ParamShiftEstimatorGradient
    ParamShiftSamplerGradient
 
-Quantum Fisher Information
---------------------------
-
-.. autosummary::
-   :toctree: ../stubs/
-   :nosignatures:
-
-   QFIResult
-   QFI
-
 Simultaneous Perturbation Stochastic Approximation
 --------------------------------------------------
 
@@ -74,35 +61,25 @@
 """
 
 from .base.base_estimator_gradient import BaseEstimatorGradient
-from .base.base_qgt import BaseQGT
 from .base.base_sampler_gradient import BaseSamplerGradient
 from .base.estimator_gradient_result import EstimatorGradientResult
 from .lin_comb.lin_comb_estimator_gradient import DerivativeType, LinCombEstimatorGradient
-from .lin_comb.lin_comb_qgt import LinCombQGT
 from .lin_comb.lin_comb_sampler_gradient import LinCombSamplerGradient
 from .param_shift.param_shift_estimator_gradient import ParamShiftEstimatorGradient
 from .param_shift.param_shift_sampler_gradient import ParamShiftSamplerGradient
-from .qfi import QFI
-from .qfi_result import QFIResult
-from .base.qgt_result import QGTResult
 from .base.sampler_gradient_result import SamplerGradientResult
 from .spsa.spsa_estimator_gradient import SPSAEstimatorGradient
 from .spsa.spsa_sampler_gradient import SPSASamplerGradient
 
 __all__ = [
     "BaseEstimatorGradient",
-    "BaseQGT",
     "BaseSamplerGradient",
     "DerivativeType",
     "EstimatorGradientResult",
     "LinCombEstimatorGradient",
-    "LinCombQGT",
     "LinCombSamplerGradient",
     "ParamShiftEstimatorGradient",
     "ParamShiftSamplerGradient",
-    "QFI",
-    "QFIResult",
-    "QGTResult",
     "SamplerGradientResult",
     "SPSAEstimatorGradient",
     "SPSASamplerGradient",

qiskit_machine_learning/gradients/base/base_estimator_gradient.py

@@ -56,7 +56,6 @@ def __init__(
         r"""
         Args:
             estimator: The estimator used to compute the gradients.
-            pass_manager: pass manager for isa_circuit transpilation.
             options: Primitive backend runtime options used for circuit execution.
                 The order of priority is: options in ``run`` method > gradient's
                 default options > primitive's default setting.
@@ -71,6 +70,8 @@ def __init__(
                 Defaults to ``DerivativeType.REAL``, as this yields e.g. the commonly-used energy
                 gradient and this type is the only supported type for function-level schemes like
                 finite difference.
+            pass_manager: The pass manager to transpile the circuits if necessary.
+            Defaults to ``None``, as some primitives do not need transpiled circuits.
         """
         if isinstance(estimator, BaseEstimatorV1):
             issue_deprecation_msg(