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doichanjmelechlapsonEric-Arellano
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Release 0.14.1 (#2099)
* Fix AerCompiler to use custom pass manager to decompose control flow ops (#2095) * Fix AerCompiler to use basis_gates built from input circuit * use custom pass manager to decompose dontrol flow ops * remove unused import * Use sphinx.ext.linkcode for more precise source code links (#2101) * switched links to using sphinx.ext.linkcode * added release note * added check for qiskit methods * remove whitespace * removed regex subsitution Co-authored-by: Eric Arellano <[email protected]> * Update tox.ini Co-authored-by: Eric Arellano <[email protected]> * made updates following Eric's review * made final line more readable * cast filename to str * re-added regex sub --------- Co-authored-by: Eric Arellano <[email protected]> * Fix noise sampling on shot-branching (#2098) * Fix noise sampling on shot-branching * format * fix runtime noise sampling * remove copying branch * fix batch GPU * format * set initial value to Op structure * format * format * test * test * fix use of additional_ops.size() * fix error * fix remove_empty_branches * test * test * test * test * Fixes for dependency issues caused by 0.14 release (#2094) * Fixes for dependency issues * lint * lint * lint * fix release note * fix sampler * fix sampler * fix sampler * fix sampler * remove skip cp38 * hide primitives V2 for qiskit < 1.0 * lint * add test case for sampling measure for large stabilizer circuit * reduce warning * replace test case for large stabilizer with GHZ circuit * format * format * convert basis_gates from list to set * fix assemble_circuits * resolve conflicts * Replace example in README to using primitives (#2105) * Replace example in README to using primitives * upgrade python version to 3.10 for github actions * fix 3.10 * fix 3.10 * upgrade python version to 3.10 for github actions * skip 3.8 and 3.9 for MacOS arm64 * skip 3.8 and 3.9 for MacOS arm64 * skip 3.8 and 3.9 for MacOS arm64 * replace macos-latest with macos-13 * Revert "Replace example in README to using primitives" This reverts commit b536563. * Revert "Revert "Replace example in README to using primitives"" This reverts commit 807ac6f. * manually merge upstream * add example using noise model * remove print(result) * add release note and set versions * Fix CI failures (#2106) * upgrade github actions for macos_arm64 and windows * skip pp38/39 * exclude pp * fix doc * test * remove CIBW_TEST_SKIP for wheel --------- Co-authored-by: melechlapson <[email protected]> Co-authored-by: Eric Arellano <[email protected]>
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‎.github/workflows/build.yml

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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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os: ["macOS-latest", "ubuntu-latest", "windows-2019"]
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os: ["macos-13", "ubuntu-latest", "windows-2019"]
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python 3.8
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uses: actions/setup-python@v2
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- uses: actions/checkout@v4
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- name: Set up Python '3.10'
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uses: actions/setup-python@v5
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with:
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python-version: 3.8
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python-version: '3.10'
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- name: Install deps
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run: pip install "conan<2.0.0"
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- uses: actions/checkout@v2
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- uses: actions/checkout@v4
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- name: Set up Python '3.10'
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uses: actions/setup-python@v5
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with:
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python-version: 3.8
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python-version: '3.10'
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- name: Install deps
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run: pip install "conan<2.0.0"
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- name: Install openblas and mpi
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os: ["macos-13", "ubuntu-latest", "windows-2019"]
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steps:
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- name: Set up Python Python 3.8
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uses: actions/setup-python@v2
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- uses: actions/checkout@v4
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- name: Set up Python Python '3.10'
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uses: actions/setup-python@v5
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with:
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python-version: '3.10'
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- name: Add msbuild to PATH
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uses: microsoft/[email protected]
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if: runner.os == 'Windows'
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runs-on: ${{ matrix.os }}
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- name: Set up Python Python 3.8
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uses: actions/setup-python@v2
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- uses: actions/checkout@v4
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- name: Set up Python Python 3.10
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uses: actions/setup-python@v5
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with:
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python-version: 3.8
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python-version: '3.10'
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architecture: arm64
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- name: Install deps
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run: python -m pip install -U cibuildwheel==2.16.2
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- name: Build Wheels
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CIBW_ARCHS_MACOS: arm64
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CIBW_SKIP: "pp* cp38* cp39*"
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run: cibuildwheel --output-dir wheelhouse
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python-version: '3.10'
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‎.github/workflows/deploy.yml

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name: Build qiskit-aer wheels
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os: ["macos-13", "ubuntu-latest", "windows-2019"]
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environment: release
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steps:
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name: Install Python
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python-version: '3.10'
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- name: Install cibuildwheel
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- name: Build wheels
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CIBW_SKIP: "pp* cp38-macosx_arm64 cp39-macosx_arm64"
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- name: Set up Python Python '3.10'
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uses: actions/setup-python@v5
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python-version: '3.10'
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architecture: arm64
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- name: Install Deps
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- name: Build Artifacts
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‎.github/workflows/docs.yml

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‎.github/workflows/tests.yml

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‎README.md

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for instructions on doing this.
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## Simulating your first Qiskit circuit with Aer
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Now that you have Aer installed, you can start simulating quantum circuits with noise. Here is a basic example:
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Now that you have Aer installed, you can start simulating quantum circuits using primitives and noise models. Here is a basic example:
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```
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$ python
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```
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```python
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import qiskit
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from qiskit import transpile
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from qiskit.circuit.library import RealAmplitudes
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from qiskit.quantum_info import SparsePauliOp
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from qiskit_aer import AerSimulator
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from qiskit_ibm_runtime import QiskitRuntimeService
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# Generate 3-qubit GHZ state
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circ = qiskit.QuantumCircuit(3)
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circ.h(0)
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circ.cx(0, 1)
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circ.cx(1, 2)
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circ.measure_all()
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# Construct an ideal simulator
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aersim = AerSimulator()
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# Perform an ideal simulation
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result_ideal = aersim.run(circ).result()
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counts_ideal = result_ideal.get_counts(0)
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print('Counts(ideal):', counts_ideal)
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# Counts(ideal): {'000': 493, '111': 531}
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# Construct a simulator using a noise model
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# from a real backend.
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provider = QiskitRuntimeService()
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sim = AerSimulator()
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# --------------------------
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# Simulating using estimator
64+
#---------------------------
65+
from qiskit_aer.primitives import EstimatorV2
66+
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psi1 = transpile(RealAmplitudes(num_qubits=2, reps=2), sim, optimization_level=0)
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psi2 = transpile(RealAmplitudes(num_qubits=2, reps=3), sim, optimization_level=0)
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H1 = SparsePauliOp.from_list([("II", 1), ("IZ", 2), ("XI", 3)])
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H2 = SparsePauliOp.from_list([("IZ", 1)])
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H3 = SparsePauliOp.from_list([("ZI", 1), ("ZZ", 1)])
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theta1 = [0, 1, 1, 2, 3, 5]
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theta2 = [0, 1, 1, 2, 3, 5, 8, 13]
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theta3 = [1, 2, 3, 4, 5, 6]
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estimator = EstimatorV2()
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# calculate [ [<psi1(theta1)|H1|psi1(theta1)>,
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# <psi1(theta3)|H3|psi1(theta3)>],
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# [<psi2(theta2)|H2|psi2(theta2)>] ]
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job = estimator.run(
84+
[
85+
(psi1, [H1, H3], [theta1, theta3]),
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(psi2, H2, theta2)
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],
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precision=0.01
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)
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result = job.result()
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print(f"expectation values : psi1 = {result[0].data.evs}, psi2 = {result[1].data.evs}")
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# --------------------------
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# Simulating using sampler
95+
# --------------------------
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from qiskit_aer.primitives import SamplerV2
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from qiskit import QuantumCircuit
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# create a Bell circuit
100+
bell = QuantumCircuit(2)
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bell.h(0)
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bell.cx(0, 1)
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bell.measure_all()
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# create two parameterized circuits
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pqc = RealAmplitudes(num_qubits=2, reps=2)
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pqc.measure_all()
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pqc = transpile(pqc, sim, optimization_level=0)
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pqc2 = RealAmplitudes(num_qubits=2, reps=3)
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pqc2.measure_all()
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pqc2 = transpile(pqc2, sim, optimization_level=0)
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theta1 = [0, 1, 1, 2, 3, 5]
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theta2 = [0, 1, 2, 3, 4, 5, 6, 7]
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# initialization of the sampler
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sampler = SamplerV2()
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# collect 128 shots from the Bell circuit
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job = sampler.run([bell], shots=128)
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job_result = job.result()
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print(f"counts for Bell circuit : {job_result[0].data.meas.get_counts()}")
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# run a sampler job on the parameterized circuits
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job2 = sampler.run([(pqc, theta1), (pqc2, theta2)])
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job_result = job2.result()
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print(f"counts for parameterized circuit : {job_result[0].data.meas.get_counts()}")
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# --------------------------------------------------
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# Simulating with noise model from actual hardware
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# --------------------------------------------------
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from qiskit_ibm_runtime import QiskitRuntimeService
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provider = QiskitRuntimeService(channel='ibm_quantum', token="set your own token here")
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backend = provider.get_backend("ibm_kyoto")
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aersim_backend = AerSimulator.from_backend(backend)
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# Perform noisy simulation
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result_noise = aersim_backend.run(circ).result()
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counts_noise = result_noise.get_counts(0)
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# create sampler from the actual backend
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sampler.from_backend(backend)
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# run a sampler job on the parameterized circuits with noise model of the actual hardware
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job3 = sampler.run([(pqc, theta1), (pqc2, theta2)])
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job_result = job3.result()
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print(f"Parameterized for Bell circuit w/noise: {job_result[0].data.meas.get_counts()}")
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print('Counts(noise):', counts_noise)
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# Counts(noise): {'101': 16, '110': 48, '100': 7, '001': 31, '010': 7, '000': 464, '011': 15, '111': 436}
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```
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