Remove remaining code usage deprecated in Qiskit 0.46

docs/manuals/measurement/readout_mitigation.rst

@@ -40,7 +40,7 @@ experiments to generate the corresponding mitigators.
     import numpy as np
     import matplotlib.pyplot as plt
     from qiskit import QuantumCircuit
-    from qiskit.visualization import plot_histogram
+    from qiskit.visualization import plot_distribution
     from qiskit_experiments.library import LocalReadoutError, CorrelatedReadoutError
 
     from qiskit_aer import AerSimulator
@@ -128,7 +128,7 @@ Probabilities
 .. jupyter-execute::
 
     legend = ['Mitigated Probabilities', 'Unmitigated Probabilities']
-    plot_histogram([mitigated_probs, unmitigated_probs], legend=legend, sort="value_desc", bar_labels=False)
+    plot_distribution([mitigated_probs, unmitigated_probs], legend=legend, sort="value_desc", bar_labels=False)
 
 
 Expectation value

requirements-dev.txt

@@ -1,4 +1,3 @@
-qiskit==0.45.3
 # Linters
 black~=22.0
 pylint~=3.0.2

requirements.txt

@@ -1,6 +1,6 @@
 numpy>=1.17
 scipy>=1.4
-qiskit==0.45.3  # Temporary
+qiskit>=0.45
 qiskit-ibm-experiment>=0.3.4
 matplotlib>=3.4
 uncertainties

test/curve_analysis/test_curve_fitting.py

@@ -15,7 +15,7 @@
 import numpy as np
 
 from qiskit import QuantumCircuit, transpile
-from qiskit.providers.basicaer import QasmSimulatorPy
+from qiskit_aer import AerSimulator
 from qiskit_experiments.curve_analysis import process_curve_data
 from qiskit_experiments.curve_analysis.utils import (
     level2_probability,
@@ -36,7 +36,7 @@ def simulate_experiment_data(self, thetas, shots=1024):
             qc.measure_all()
             circuits.append(qc)
 
-        sim = QasmSimulatorPy()
+        sim = AerSimulator()
         circuits = transpile(circuits, sim)
         job = sim.run(circuits, shots=shots, seed_simulator=10)
         result = job.result()

test/framework/test_framework.py

@@ -13,17 +13,18 @@
 """Tests for base experiment framework."""
 
 import pickle
+from itertools import product
 from test.fake_experiment import FakeExperiment, FakeAnalysis
 from test.base import QiskitExperimentsTestCase
-from itertools import product
+
 import ddt
 
 from qiskit import QuantumCircuit
-from qiskit.providers.fake_provider import FakeJob
 from qiskit.providers.jobstatus import JobStatus
 from qiskit.exceptions import QiskitError
 from qiskit_ibm_runtime.fake_provider import FakeVigoV2
 
+from qiskit_experiments.database_service import Qubit
 from qiskit_experiments.exceptions import AnalysisError
 from qiskit_experiments.framework import (
     ExperimentData,
@@ -33,7 +34,7 @@
     AnalysisStatus,
 )
 from qiskit_experiments.test.fake_backend import FakeBackend
-from qiskit_experiments.database_service import Qubit
+from qiskit_experiments.test.utils import FakeJob
 
 
 @ddt.ddt
@@ -287,7 +288,7 @@ class MyBackend(FakeVigoV2):
             """A backend that works with `MyJob`"""
 
             def run(self, run_input, **options):
-                return MyJob(self, "jobid", None)
+                return MyJob(self)
 
         class MyJob(FakeJob):
             """A job with status ERROR, that errors when the result is queried"""

test/library/calibration/test_rabi.py

@@ -18,8 +18,8 @@
 from qiskit import QuantumCircuit, pulse, transpile
 from qiskit.exceptions import QiskitError
 from qiskit.circuit import Parameter
-from qiskit.providers.basicaer import QasmSimulatorPy
 from qiskit.qobj.utils import MeasLevel
+from qiskit_aer import AerSimulator
 
 from qiskit_experiments.framework import ExperimentData, ParallelExperiment
 from qiskit_experiments.library import Rabi, EFRabi
@@ -223,7 +223,7 @@ def simulate_experiment_data(self, thetas, amplitudes, shots=1024):
             qc.measure_all()
             circuits.append(qc)
 
-        sim = QasmSimulatorPy()
+        sim = AerSimulator()
         circuits = transpile(circuits, sim)
         job = sim.run(circuits, shots=shots, seed_simulator=10)
         result = job.result()
@@ -272,7 +272,10 @@ def test_bad_analysis(self):
         """Test the Rabi analysis."""
         experiment_data = ExperimentData()
 
-        thetas = np.linspace(0.0, np.pi / 4, 31)
+        # Change rotation angle with square root of amplitude so that
+        # population versus amplitude will not be sinusoidal and the fit will
+        # be bad.
+        thetas = np.sqrt(np.linspace(0.0, 4 * np.pi**2, 31))
         amplitudes = np.linspace(0.0, 0.95, 31)
 
         experiment_data.add_data(self.simulate_experiment_data(thetas, amplitudes, shots=200))