Import optional dependencies less eagerly

qiskit_experiments/framework/base_experiment.py

@@ -23,7 +23,6 @@
 from qiskit.exceptions import QiskitError
 from qiskit.providers.options import Options
 from qiskit.primitives.base import BaseSamplerV2
-from qiskit_ibm_runtime import SamplerV2 as Sampler
 from qiskit_experiments.framework import BackendData, MeasLevel
 from qiskit_experiments.framework.store_init_args import StoreInitArgs
 from qiskit_experiments.framework.base_analysis import BaseAnalysis
@@ -380,7 +379,9 @@ def _run_jobs(
         if not self._backend_run:
             if sampler is None:
                 # instantiate a sampler from the backend
-                sampler = Sampler(self.backend)
+                from qiskit_ibm_runtime import SamplerV2
+
+                sampler = SamplerV2(self.backend)
 
                 # have to hand set some of these options
                 # see https://quantum.cloud.ibm.com/docs/api/qiskit-ibm-runtime

qiskit_experiments/framework/composite/batch_experiment.py

@@ -12,17 +12,20 @@
 """
 Batch Experiment class.
 """
+from __future__ import annotations
 
-from typing import List, Optional, Dict
+from typing import Dict, List, Optional, TYPE_CHECKING
 from collections import OrderedDict, defaultdict
 
 from qiskit import QuantumCircuit
-from qiskit.providers import Job, Backend, Options
-from qiskit_ibm_runtime import SamplerV2 as Sampler
 
 from .composite_experiment import CompositeExperiment, BaseExperiment
 from .composite_analysis import CompositeAnalysis
 
+if TYPE_CHECKING:
+    from qiskit.primitives.base import BaseSamplerV2
+    from qiskit.providers import Job, Backend, Options
+
 
 class BatchExperiment(CompositeExperiment):
     """Combine multiple experiments into a batch experiment.
@@ -138,7 +141,7 @@ def _run_jobs_recursive(
         self,
         circuits: List[QuantumCircuit],
         truncated_metadata: List[Dict],
-        sampler: Sampler = None,
+        sampler: BaseSamplerV2 = None,
         **run_options,
     ) -> List[Job]:
         # The truncated metadata is a truncation of the original composite metadata.
@@ -177,7 +180,7 @@ def _run_jobs_recursive(
         return jobs
 
     def _run_jobs(
-        self, circuits: List[QuantumCircuit], sampler: Sampler = None, **run_options
+        self, circuits: List[QuantumCircuit], sampler: BaseSamplerV2 = None, **run_options
     ) -> List[Job]:
         truncated_metadata = [circ.metadata for circ in circuits]
         jobs = self._run_jobs_recursive(circuits, truncated_metadata, sampler, **run_options)

qiskit_experiments/library/tomography/fitters/cvxpy_lstsq.py

@@ -22,7 +22,6 @@
     PreparationBasis,
 )
 from . import cvxpy_utils
-from .cvxpy_utils import cvxpy
 from . import lstsq_utils
 from .fitter_data import _basis_dimensions
 
@@ -136,6 +135,8 @@ def cvxpy_linear_lstsq(
     Returns:
         The fitted matrix rho that maximizes the least-squares likelihood function.
     """
+    import cvxpy
+
     t_start = time.time()
 
     if measurement_basis and measurement_qubits is None:

qiskit_experiments/library/tomography/fitters/cvxpy_utils.py

@@ -12,32 +12,24 @@
 """
 Utility functions for CVXPy module
 """
+from __future__ import annotations
 
-from typing import Callable, List, Tuple, Optional, Union
 import functools
+from typing import Callable, List, TYPE_CHECKING, Tuple, Optional, Union
+
 import numpy as np
 import scipy.sparse as sps
 
 from qiskit_experiments.exceptions import AnalysisError
 
-# Check if CVXPY package is installed
-try:
-    import cvxpy
+# NOTE: this module gets eagerly imported with `qiskit_experiments/__init__.py`
+# so it should not eagerly import cvxpy (a bit expensive to import when not
+# needed). Any function outside of this module importing cvxpy or using a
+# function from this module should be decorated with `requires_cvxpy`.
+if TYPE_CHECKING:
     from cvxpy import Problem, Variable
     from cvxpy.constraints.constraint import Constraint
 
-    HAS_CVXPY = True
-
-except ImportError:
-    cvxpy = None
-
-    HAS_CVXPY = False
-
-    # Used for type hints
-    Problem = None
-    Variable = None
-    Constraint = None
-
 
 def requires_cvxpy(func: Callable) -> Callable:
     """Function decorator for functions requiring CVXPy.
@@ -49,16 +41,18 @@ def requires_cvxpy(func: Callable) -> Callable:
         The decorated function.
 
     Raises:
-        QiskitError: If CVXPy is not installed.
+        ImportError: If CVXPy is not installed.
     """
 
     @functools.wraps(func)
     def decorated_func(*args, **kwargs):
-        if not HAS_CVXPY:
+        try:
+            import cvxpy  # pylint: disable=unused-import
+        except ImportError as err:
             raise ImportError(
-                f"The CVXPY package is required to for {func}."
+                f"The CVXPY package is required for {func}."
                 "You can install it with 'pip install cvxpy'."
-            )
+            ) from err
         return func(*args, **kwargs)
 
     return decorated_func
@@ -127,6 +121,8 @@ def complex_matrix_variable(
         A tuple ``(mat.real, mat.imag, constraints)`` of two real CVXPY
         matrix variables, and constraints.
     """
+    import cvxpy
+
     mat_r = cvxpy.Variable((dim, dim))
     mat_i = cvxpy.Variable((dim, dim))
     cons = []
@@ -163,6 +159,8 @@ def psd_constraint(mat_r: Variable, mat_i: Variable) -> List[Constraint]:
     Returns:
         A list of constraints on the real and imaginary parts.
     """
+    import cvxpy
+
     bmat = cvxpy.bmat([[mat_r, -mat_i], [mat_i, mat_r]])
     return [bmat >> 0]
 
@@ -187,9 +185,11 @@ def trace_constraint(
     Raises:
         TypeError: If input variables are not valid.
     """
+    import cvxpy
+
     if isinstance(mat_r, (list, tuple)):
         arg_r = cvxpy.sum(mat_r)
-    elif isinstance(mat_r, Variable):
+    elif isinstance(mat_r, cvxpy.Variable):
         arg_r = mat_r
     else:
         raise TypeError("Input must be a cvxpy variable or list of variables")
@@ -201,7 +201,7 @@ def trace_constraint(
     # If not hermitian add imaginary trace constraint
     if isinstance(mat_i, (list, tuple)):
         arg_i = cvxpy.sum(mat_i)
-    elif isinstance(mat_i, Variable):
+    elif isinstance(mat_i, cvxpy.Variable):
         arg_i = mat_i
     else:
         raise TypeError("Input must be a cvxpy variable or list of variables")
@@ -228,6 +228,8 @@ def partial_trace_constaint(
     Raises:
         TypeError: If input variables are not valid.
     """
+    import cvxpy
+
     sdim = mat_r.shape[0]
     output_dim = constraint.shape[0]
     input_dim = sdim // output_dim
@@ -261,10 +263,12 @@ def trace_preserving_constaint(
     Raises:
         TypeError: If input variables are not valid.
     """
+    import cvxpy
+
     if isinstance(mat_r, (tuple, list)):
         sdim = mat_r[0].shape[0]
         arg_r = cvxpy.sum(mat_r)
-    elif isinstance(mat_r, Variable):
+    elif isinstance(mat_r, cvxpy.Variable):
         sdim = mat_r.shape[0]
         arg_r = mat_r
     else:
@@ -282,7 +286,7 @@ def trace_preserving_constaint(
     # If not hermitian add imaginary partial trace constraint
     if isinstance(mat_i, (tuple, list)):
         arg_i = cvxpy.sum(mat_i)
-    elif isinstance(mat_i, Variable):
+    elif isinstance(mat_i, cvxpy.Variable):
         arg_i = mat_i
     else:
         raise TypeError("Input must be a cvxpy variable or list of variables")

releasenotes/notes/lazy-imports-730268f4cd8763dc.yaml

@@ -0,0 +1,9 @@
+---
+features:
+  - |
+    Importing of optional dependencies has been made delayed until first use.
+    In particular, ``cvxpy`` is now not imported until a tomography fitter that
+    uses it is used. Additionally, ``qiskit_ibm_runtime`` is not imported an
+    experiment is run without being passed a sampler argument. Previously, both
+    packages were imported when ``qiskit_experiments`` was imported (``cvxpy``
+    is optional, but it was always imported if it was available).

test/framework/test_warnings.py → test/framework/test_dependencies.py

@@ -10,29 +10,59 @@
 # copyright notice, and modified files need to carry a notice indicating
 # that they have been altered from the originals.
 
-# pylint: disable=unused-argument, unused-variable
-"""Test warning helper."""
+"""Test behavior related package dependencies."""
 
 import subprocess
 import sys
 import textwrap
 from test.base import QiskitExperimentsTestCase
 
-from qiskit_experiments.framework import BaseExperiment
 
+class TestOptionalDependencies(QiskitExperimentsTestCase):
+    """Test handling of optional dependencies
 
-class TempExperiment(BaseExperiment):
-    """Fake experiment."""
+    Note: these tests use subprocesses in order to test import handling. That
+    is an expensive operation compared to running code within a process that
+    has already imported everything (importing qiskit_experiments takes about 3
+    seconds), so the amount of this kind of test should be kept to a minimum.
+    """
+
+    def test_no_optional_dependencies(self):
+        """Test that optional dependencies not imported by 'import qiskit_experiments'"""
+        script = """
+        import sys
+
+        import qiskit_experiments
 
-    def __init__(self, physical_qubits):
-        super().__init__(physical_qubits)
 
-    def circuits(self):
-        pass
+        top_level_modules = {m.partition(".")[0] for m in sys.modules}
+
+        optional_deps = [
+            "cvxpy",
+            "qiskit_aer",
+            "qiskit_ibm_runtime",
+            "sklearn",
+        ]
+
+        unexpected = [d for d in optional_deps if d in top_level_modules]
+        if unexpected:
+            print(", ".join(unexpected))
+        """
+        script = textwrap.dedent(script)
 
+        proc = subprocess.run(
+            [sys.executable, "-c", script], check=False, text=True, capture_output=True
+        )
 
-class TestWarningsHelper(QiskitExperimentsTestCase):
-    """Test case for warnings decorator with tricky behavior."""
+        self.assertTrue(
+            proc.stdout == "",
+            msg=f"Unexpected dependency imports: {proc.stdout}",
+        )
+        self.assertEqual(
+            proc.returncode,
+            0,
+            msg=f"Test script failed:\n{proc.stderr}",
+        )
 
     def test_warn_sklearn(self):
         """Test that a suggestion to import scikit-learn is given when appropriate"""