Use Runtime for calibrations

.github/workflows/docs.yml

@@ -10,13 +10,13 @@ jobs:
   deploy:
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
       with:
         fetch-depth: 0
     - name: Set up Python
-      uses: actions/setup-python@v2
+      uses: conda-incubator/setup-miniconda@v3
       with:
-        python-version: '3.9.16'
+        python-version: '3.11'
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip

.github/workflows/python-package-conda.yml

@@ -8,25 +8,26 @@ jobs:
   conda-test:
     name: Conda tests on ${{ matrix.os }}
     runs-on: ${{ matrix.os }}
+    defaults:
+      run:
+        shell: bash -el {0}
     strategy:
       max-parallel: 5
       matrix:
-        os: [ubuntu-20.04, macos-11]
-        python-version: [3.8, 3.9, "3.10", "3.11", "3.12"]
+        os: [ubuntu-latest, macos-latest]
+        python-version: ["3.11", "3.12"]
 
     steps:
-    - uses: actions/checkout@v2
-    - name: Set up Python 3.9
-      uses: actions/setup-python@v2
+    - uses: actions/checkout@v4
+    - name: Set up Python 3.11
+      uses: conda-incubator/setup-miniconda@v3
       with:
+        miniconda-version: "latest"
+        auto-update-conda: true
         python-version: ${{ matrix.python-version }}
-    - name: Add conda to system path
-      run: |
-        # $CONDA is an environment variable pointing to the root of the miniconda directory
-        echo $CONDA/bin >> $GITHUB_PATH
     - name: Install dependencies
       run: |
-        conda config --set always_yes yes --set changeps1 no
+        conda info
         pip install -U -r requirements.txt -c constraints.txt
     - name: Lint with pylint and pycodestyle
       run: |
@@ -36,8 +37,8 @@ jobs:
         pycodestyle --max-line-length=100 mthree
     - name: Run tests with pytest
       run: |
-        conda install pytest
-        python setup.py install
+        pip install pytest
+        pip install .
         pytest -p no:warnings --pyargs mthree/test
     - name: Build docs
       run: |

docs/advanced.rst

@@ -16,10 +16,10 @@ over direct LU factorization (selection also depends on free memory).
 
 .. jupyter-execute::
 
-    from qiskit_ibm_runtime.fake_provider import FakeCasablanca
+    from qiskit_ibm_runtime.fake_provider import FakeCasablancaV2
     import mthree
 
-    backend = FakeCasablanca()
+    backend = FakeCasablancaV2()
     mit = mthree.M3Mitigation(backend, iter_threshold=4321)
 
 

docs/balanced.rst

@@ -17,7 +17,7 @@ consider the balanced calibration circuits for 5 qubits:
 
 .. jupyter-execute::
 
-    from qiskit_ibm_runtime.fake_provider import FakeAthens
+    from qiskit_ibm_runtime.fake_provider import FakeAthensV2
     import mthree
 
     mthree.circuits.balanced_cal_strings(5)
@@ -33,7 +33,7 @@ matches the precison of the other methods.  That is to say that the following:
 
  .. jupyter-execute::
 
-    backend = FakeAthens()
+    backend = FakeAthensV2()
     mit = mthree.M3Mitigation(backend)
     mit.cals_from_system(method='balanced')
 

docs/basic.rst

@@ -22,7 +22,7 @@ needed modules, and construct a circuit of interest.
 
     import numpy as np
     from qiskit import *
-    from qiskit_ibm_runtime.fake_provider import FakeCasablanca
+    from qiskit_ibm_runtime.fake_provider import FakeCasablancaV2
     import mthree
 
     qc = QuantumCircuit(6)
@@ -40,7 +40,7 @@ Next we calibrate an M3 mitigator instance over qubits 0 -> 6 (Step #1):
 
 .. jupyter-execute::
 
-    backend = FakeCasablanca()
+    backend = FakeCasablancaV2()
     mit = mthree.M3Mitigation(backend)
     mit.cals_from_system(range(6))
 
@@ -67,9 +67,9 @@ provided that we select the correct layout.
 
 .. jupyter-execute::
 
-    from qiskit_ibm_runtime.fake_provider import FakeMontreal
+    from qiskit_ibm_runtime.fake_provider import FakeMontrealV2
 
-    backend = FakeMontreal()
+    backend = FakeMontrealV2()
     mit2 = mthree.M3Mitigation(backend)
 
 In our case, ``qubits = [10, 12, 15, 13, 11, 14]`` is an appropriate layout.  Importantly, the

docs/cal_io.rst

@@ -9,10 +9,10 @@ Let us generate some calibration data and save it.
 
 .. jupyter-execute::
 
-    from qiskit_ibm_runtime.fake_provider import FakeCasablanca
+    from qiskit_ibm_runtime.fake_provider import FakeCasablancaV2
     import mthree
 
-    backend = FakeCasablanca()
+    backend = FakeCasablancaV2()
 
     mit = mthree.M3Mitigation(backend)
     mit.cals_from_system([1, 3, 5], cals_file='my_cals.json')

docs/collections.rst

@@ -9,7 +9,7 @@ When you mitigate over multiple circuits the return object is a :class:`mthree.c
 .. jupyter-execute::
 
     from qiskit import *
-    from qiskit_ibm_runtime.fake_provider import FakeCasablanca
+    from qiskit_ibm_runtime.fake_provider import FakeCasablancaV2
     import mthree
 
     qc = QuantumCircuit(6)
@@ -22,7 +22,7 @@ When you mitigate over multiple circuits the return object is a :class:`mthree.c
     qc.cx(1,2)
     qc.measure_all()
 
-    backend = FakeCasablanca()
+    backend = FakeCasablancaV2()
     mit = mthree.M3Mitigation(backend)
     mit.cals_from_system(range(6))
 

docs/error.rst

@@ -14,7 +14,7 @@ Let us first calibrate the mitigator and get raw results:
 .. jupyter-execute::
 
     from qiskit import *
-    from qiskit_ibm_runtime.fake_provider import FakeCasablanca
+    from qiskit_ibm_runtime.fake_provider import FakeCasablancaV2
     import mthree
 
     qc = QuantumCircuit(6)
@@ -31,7 +31,7 @@ Let us first calibrate the mitigator and get raw results:
 
 .. jupyter-execute::
 
-    backend = FakeCasablanca()
+    backend = FakeCasablancaV2()
     mit = mthree.M3Mitigation(backend)
     mit.cals_from_system(range(6))
 

docs/expvals.rst

@@ -17,10 +17,10 @@ a noisy-simulator.
 
     import numpy as np
     from qiskit import *
-    from qiskit_ibm_runtime.fake_provider import FakeAthens
+    from qiskit_ibm_runtime.fake_provider import FakeAthensV2
     import mthree
 
-    backend = FakeAthens()
+    backend = FakeAthensV2()
 
     ghz2 = QuantumCircuit(2)
     ghz2.h(0)

docs/grouped.rst

@@ -12,7 +12,7 @@ this consider the following simple example:
 .. jupyter-execute::
 
     from qiskit import *
-    from qiskit_ibm_runtime.fake_provider import FakeAthens
+    from qiskit_ibm_runtime.fake_provider import FakeAthensV2
     import mthree
 
     qc = QuantumCircuit(4)
@@ -26,7 +26,7 @@ and, because we have transpiled, find the final measurement mapping:
 
 .. jupyter-execute::
 
-    backend = FakeAthens()
+    backend = FakeAthensV2()
     trans_circs = transpile([qc]*2, backend, optimization_level=3, approximation_degree=0)
     mappings = mthree.utils.final_measurement_mapping(trans_circs)  
 

docs/marginals.rst

@@ -16,7 +16,7 @@ Consider the following circuit that we would like to evaluate:
 .. jupyter-execute::
 
     from qiskit import *
-    from qiskit_ibm_runtime.fake_provider import FakeGuadalupe
+    from qiskit_ibm_runtime.fake_provider import FakeGuadalupeV2
     import mthree
 
     N = 6
@@ -35,7 +35,7 @@ Let us first map this onto the target system and compute the final measurement m
 
 .. jupyter-execute::
 
-    backend = FakeGuadalupe()
+    backend = FakeGuadalupeV2()
 
     trans_qc = transpile(qc, backend, optimization_level=3, seed_transpiler=12345)
     mapping = mthree.utils.final_measurement_mapping(trans_qc)

docs/probs.rst

@@ -15,7 +15,7 @@ done in linear time.
 .. jupyter-execute::
 
     from qiskit import *
-    from qiskit_ibm_runtime.fake_provider import FakeCasablanca
+    from qiskit_ibm_runtime.fake_provider import FakeCasablancaV2
     import mthree
 
     qc = QuantumCircuit(6)
@@ -28,7 +28,7 @@ done in linear time.
     qc.cx(1,2)
     qc.measure_all()
 
-    backend = FakeCasablanca()
+    backend = FakeCasablancaV2()
     mit = mthree.M3Mitigation(backend)
     mit.cals_from_system(range(6))
 

docs/sampling.ipynb

@@ -26,7 +26,7 @@
    "outputs": [],
    "source": [
     "from qiskit import *\n",
-    "from qiskit_ibm_runtime.fake_provider import FakeKolkata\n",
+    "from qiskit_ibm_runtime.fake_provider import FakeKolkataV2\n",
     "\n",
     "import mthree\n",
     "\n",
@@ -41,7 +41,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "backend = FakeKolkata()"
+    "backend = FakeKolkataV2()"
    ]
   },
   {

docs/transpiled.rst

@@ -13,7 +13,7 @@ For example consider the Bernstein-Vazirani circuit
 .. jupyter-execute::
 
     from qiskit import *
-    from qiskit_ibm_runtime.fake_provider import FakeCasablanca
+    from qiskit_ibm_runtime.fake_provider import FakeCasablancaV2
     import mthree
 
     qc = QuantumCircuit(5, 4)
@@ -32,7 +32,7 @@ embed the circuit and we must SWAP map it:
 
 .. jupyter-execute::
 
-    backend = FakeCasablanca()
+    backend = FakeCasablancaV2()
     trans_qc = transpile(qc, backend, optimization_level=3, seed_transpiler=12345)
     trans_qc.draw('mpl')
 

docs/utils.rst

@@ -19,7 +19,7 @@ bits they correspond to.  Here we show another example of this usage.  First we
 .. jupyter-execute::
 
     from qiskit import *
-    from qiskit_ibm_runtime.fake_provider import FakeCasablanca
+    from qiskit_ibm_runtime.fake_provider import FakeCasablancaV2
     import mthree
 
     qc = QuantumCircuit(7)
@@ -32,7 +32,7 @@ and then transpile it:
 
 .. jupyter-execute::
 
-    backend = FakeCasablanca()
+    backend = FakeCasablancaV2()
     trans_qc = transpile(qc, backend, optimization_level=3, seed_transpiler=54321)
     trans_qc.draw('mpl')
 
@@ -66,8 +66,8 @@ For example let us compare raw data verse the mitigated results in a simple case
 
 .. jupyter-execute::
 
-    from qiskit_ibm_runtime.fake_provider import FakeAthens
-    backend = FakeAthens()
+    from qiskit_ibm_runtime.fake_provider import FakeAthensV2
+    backend = FakeAthensV2()
     qc = QuantumCircuit(4)
     qc.h(2)
     qc.cx(2, 1)

mthree/__init__.py

@@ -25,19 +25,18 @@
     from .version import version as __version__
     from .version import openmp
 except ImportError:
-    __version__ = '0.0.0'
+    __version__ = "0.0.0"
     openmp = False
 
 from .mitigation import M3Mitigation
 
 
 def about():
-    """The M3 version info function.
-    """
-    print('='*80)
-    print('# Matrix-free Measurement Mitigation (M3) version {}'.format(__version__))
-    print('# (C) Copyright IBM 2021.')
-    print('# Paul Nation, Hwajung Kang, Neereja Sundaresan')
-    print('# Jay Gambetta, and Matthew Treinish.')
-    print('# Compiled with OpenMP: {}'.format(openmp))
-    print('='*80)
+    """The M3 version info function."""
+    print("=" * 80)
+    print("# Matrix-free Measurement Mitigation (M3) version {}".format(__version__))
+    print("# (C) Copyright IBM 2021.")
+    print("# Paul Nation, Hwajung Kang, Neereja Sundaresan")
+    print("# Jay Gambetta, and Matthew Treinish.")
+    print("# Compiled with OpenMP: {}".format(openmp))
+    print("=" * 80)

mthree/_helpers.py

@@ -13,7 +13,8 @@
 """
 Helper functions
 """
-from qiskit.providers import BackendV1, BackendV2
+from qiskit.providers import BackendV2
+from qiskit_ibm_runtime import IBMBackend
 from mthree.exceptions import M3Error
 
 
@@ -28,32 +29,20 @@ def system_info(backend):
     """
     info_dict = {}
     info_dict["inoperable_qubits"] = []
-    if isinstance(backend, BackendV1):
-        config = backend.configuration()
-        info_dict["name"] = backend.name()
-        info_dict["num_qubits"] = config.num_qubits
-        info_dict["max_shots"] = config.max_shots
-        info_dict["simulator"] = config.simulator
-        # A hack for Qiskit/Terra #9572
-        if "fake" in info_dict["name"]:
-            info_dict["simulator"] = True
+    config = backend.configuration()
+    info_dict["name"] = backend.name
+    info_dict["num_qubits"] = config.num_qubits
+    _max_shots = backend.configuration().max_shots
+    info_dict["max_shots"] = _max_shots if _max_shots else int(1e6)
+
+    if isinstance(backend, IBMBackend):
+        info_dict["simulator"] = False
     elif isinstance(backend, BackendV2):
-        info_dict["name"] = backend.name
-        info_dict["num_qubits"] = backend.num_qubits
-        _max_shots = backend.options.validator.get("shots", (None, None))[1]
-        info_dict["max_shots"] = _max_shots if _max_shots else int(1e9)
-        # Default to simulator is True for safety
         info_dict["simulator"] = True
-        # This is a V2 coming from IBM provider
-        # No other way to tell outside of configuration
-        # E.g. how to tell that ibmq_qasm_simulator is sim, but real devices not
-        # outside of configuration?
-        if hasattr(backend, 'configuration'):
-            info_dict["simulator"] = backend.configuration().simulator
     else:
-        raise M3Error('Invalid backend passed.')
+        raise M3Error("Invalid backend passed.")
     # Look for faulty qubits.  Renaming to 'inoperable' here
-    if hasattr(backend, 'properties'):
-        if hasattr(backend.properties(), 'faulty_qubits'):
+    if hasattr(backend, "properties"):
+        if hasattr(backend.properties(), "faulty_qubits"):
             info_dict["inoperable_qubits"] = backend.properties().faulty_qubits()
     return info_dict