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MoritzWillmannDavid-KreplinCopilot
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Qiskit 2 support (#326)
* fix some primitive imports * remove unnecessary import * unfix qiskit version * fix BackendProperties * black * fix parallel sampler estimator imports * fix clbit import * fix imports in optree * add sympy requirement * use pennylane target * us sympify instead of _symbol_expr * use if_test instead of c_if * clean build_circuit_instructions * use recursive call to build_pennylane_circuit * fix some imports * add qulacs target * fix parameter and condition access in qulacs circuit * use draw to check if circuit is correct * fix condition checks * split executor tests * adapt executor tests * catch empty observable error * use np allclose in optree derivative test * use pure numerical expected gradients * Initial plan * Fix non-linear parameter detection in optree derivative - Add check to detect when parameters appear in non-linear functions - Parameter shift rule only works for linear/affine parameter dependencies - Updated tests to remove non-linear arccos(x[0]) from test circuits - Added new test to verify non-linear parameters raise ValueError Co-authored-by: MoritzWillmann <44642314+MoritzWillmann@users.noreply.github.com> * Drop Python 3.9 support to align with qiskit-machine-learning 0.9.0 - Update minimum Python version to 3.10 - Remove Python 3.9 from CI workflows - Remove autoray pinning for Python 3.9 - Remove old Qiskit version tests (0.46, 1.x) - Update classifiers in pyproject.toml This change is necessary because qiskit-machine-learning 0.9.0 dropped Python 3.9 support when migrating to Qiskit 2.0. Co-authored-by: MoritzWillmann <44642314+MoritzWillmann@users.noreply.github.com> * Address code review feedback - Use multiple test values (0.3, 0.7) for non-linearity check - Relax tolerance from 1e-10 to 1e-8 for floating-point precision - Add comment explaining larger tolerance for second derivatives Co-authored-by: MoritzWillmann <44642314+MoritzWillmann@users.noreply.github.com> * Address review feedback: Keep Python 3.9, add 3.14, use sympy for polynomial check - Keep Python 3.9 minimum version in pyproject.toml - Add Python 3.14 to all test matrices - Restore Python 3.9 for minimal requirements test - Add Qiskit 1.x compatibility test - Update Python classifiers to include 3.9 and 3.14 - Replace numerical gradient check with sympy-based polynomial degree check - Use second derivative to determine if parameter enters gate linearly Co-authored-by: MoritzWillmann <44642314+MoritzWillmann@users.noreply.github.com> * Update minimum qiskit version to 1.0.0 to fix Target.num_qubits issue - Update qiskit>=1.0.0 (was >=0.45.0) - fixes Target.num_qubits=None bug - Update qiskit-aer>=0.13.0 (was >=0.12.0) - for qiskit 1.0 compatibility - Update qiskit-ibm-runtime>=0.20.0 (was >=0.18.0) - for qiskit 1.0 compatibility - Update documentation to reflect new minimum versions The issue was that qiskit 0.45.0's Target.from_configuration() creates a Target without num_qubits, causing TypeError when transpiling with targets in pennylane_circuit.py. Co-authored-by: MoritzWillmann <44642314+MoritzWillmann@users.noreply.github.com> * Remove Python 3.14 from test matrices due to qulacs build issues - Remove Python 3.14 from quick_tests.yaml - Remove Python 3.14 from elaborate_tests.yaml (full, Windows, macOS) - Update Python 3.14 -> 3.13 for Windows and macOS tests - Remove Python 3.14 from classifiers in pyproject.toml Python 3.14 cannot build qulacs (C++ extension) from source due to missing Boost dependencies, causing all 3.14 tests to fail. Co-authored-by: MoritzWillmann <44642314+MoritzWillmann@users.noreply.github.com> * use different encoding circuit in test * black * Improve polynomial degree check using sympy.Poly and update qiskit 1.x test - Use sympy.Poly to check polynomial degree instead of second derivative - Use ParameterExpression.sympify() to convert to sympy expressions - Catch PolynomialError and GeneratorsNeeded for non-polynomial functions - Update qiskit 1.x test to use latest versions: - qiskit: 1.1.2 -> 1.4.5 - qiskit-aer: (implicit) -> 0.15.1 - qiskit-algorithms: 0.3.0 -> 0.3.1 - qiskit-ibm-runtime: 0.27.1 -> 0.45.1 This approach is more direct and mathematically sound - it explicitly checks if the expression is a polynomial and its degree, rather than inferring from the second derivative. Co-authored-by: MoritzWillmann <44642314+MoritzWillmann@users.noreply.github.com> * black * use argnum/s as arg to accomodate both * use 3.13 in qiskit 1 test * use n_local * fix parallel sampler output * double wrap sympify * check if condition is not None * reset shots after setting * qiskit version shenanigans * remove qiskit<1 support * remove qiskit smaller 1 from tests * fix mark error * black * new black * update example * Initial plan * Implement review comments from PR #326 Co-authored-by: MoritzWillmann <44642314+MoritzWillmann@users.noreply.github.com> * fix example * Add tests for if_else gate handling in PennyLaneCircuit Co-authored-by: MoritzWillmann <44642314+MoritzWillmann@users.noreply.github.com> * black examples * black * Initial plan * Apply review comments from PR #326 review 3845990151 Co-authored-by: MoritzWillmann <44642314+MoritzWillmann@users.noreply.github.com> * fix tests * fix qiskit version dependencies * add black jupyter to pyproject toml * fix minimal tests * adress review comments * adress review comments * fix bitstring handling qiskit<2 --------- Co-authored-by: David Kreplin <david.kreplin@ipa.fraunhofer.de> Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
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‎.github/workflows/elaborate_tests.yaml‎

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‎.github/workflows/quick_tests.yaml‎

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‎README.md‎

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## Prerequisites
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The package requires **at least Python 3.10**.
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### Stable Release

‎docs/install/install.rst‎

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Prerequisites
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-------------
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sQUlearn requires a recent python3 (>=3.10) installation.
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‎docs/user_guide/encoding_circuits.rst‎

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‎examples/encoding_circuits/various_encoding_circuit.ipynb‎

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‎examples/executor/example_executor_qiskit.ipynb‎

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"C:\\Users\\mow\\AppData\\Local\\Temp\\ipykernel_28608\\3565786267.py:2: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n",
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"C:\\Users\\mow\\Documents\\dev\\squlearn\\src\\squlearn\\util\\executor.py:2476: SessionContextMisuseWarning: \u001b[1;91mCreating a session outside of a context manager may lead to unclosed sessions. It is recommended to use the Executor within a 'with' statement. At least make sure to call 'executor.close_session()' when you are done with the executor or make sure it is properly garbage collected.\u001b[0m\n",
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"C:\\Users\\mow\\Documents\\dev\\squlearn\\src\\squlearn\\util\\executor.py:2453: SessionContextMisuseWarning: \u001b[1;91mCreating a session outside of a context manager may lead to unclosed sessions. It is recommended to use the Executor within a 'with' statement. At least make sure to call 'executor.close_session()' when you are done with the executor or make sure it is properly garbage collected.\u001b[0m\n",
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"Result(backend_name='aer_simulator', backend_version='0.17.2', qobj_id='', job_id='e29cbd7e-ad0e-4169-b300-0e4036903372', success=True, results=[ExperimentResult(shots=1024, success=True, meas_level=2, data=ExperimentResultData(), header=QobjExperimentHeader(creg_sizes=[], global_phase=0.0, memory_slots=0, n_qubits=2, name='circuit-162', qreg_sizes=[['q', 2]], metadata={}), status=DONE, seed_simulator=4162277737, metadata={'batched_shots_optimization': False, 'required_memory_mb': 0, 'method': 'stabilizer', 'active_input_qubits': [], 'device': 'CPU', 'remapped_qubits': False, 'num_qubits': 0, 'num_clbits': 0, 'time_taken': 0.0002513, 'input_qubit_map': [], 'max_memory_mb': 16135, 'measure_sampling': False, 'parallel_shots': 1, 'parallel_state_update': 12, 'runtime_parameter_bind': False, 'num_bind_params': 1}, time_taken=0.0002513)], date=2026-01-21T15:24:12.886139, status=COMPLETED, header=None, metadata={'omp_enabled': True, 'parallel_experiments': 1, 'max_memory_mb': 16135, 'max_gpu_memory_mb': 0, 'time_taken_execute': 0.0021461, 'time_taken_parameter_binding': 0.0004058}, time_taken=0.010211467742919922)"
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"Result(backend_name='aer_simulator', backend_version='0.17.2', job_id='3bb9f877-e6e0-4ee7-a053-26827a3f2578', success=True, results=[ExperimentResult(shots=1024, success=True, meas_level=2, data=ExperimentResultData(), header={'creg_sizes': [], 'global_phase': 0.0, 'memory_slots': 0, 'n_qubits': 2, 'name': 'circuit-46', 'qreg_sizes': [['q', 2]], 'metadata': {}}, status=DONE, seed_simulator=2800168535, metadata={'batched_shots_optimization': False, 'required_memory_mb': 0, 'method': 'stabilizer', 'active_input_qubits': [], 'device': 'CPU', 'remapped_qubits': False, 'num_qubits': 0, 'num_clbits': 0, 'time_taken': 3.08e-05, 'input_qubit_map': [], 'max_memory_mb': 16135, 'measure_sampling': False, 'parallel_shots': 1, 'parallel_state_update': 12, 'runtime_parameter_bind': False, 'num_bind_params': 1}, time_taken=3.08e-05)], date=2026-02-24T07:43:07.700442, status=COMPLETED, header=None, qobj_id='', metadata={'omp_enabled': True, 'parallel_experiments': 1, 'max_memory_mb': 16135, 'max_gpu_memory_mb': 0, 'time_taken_execute': 0.0001108, 'time_taken_parameter_binding': 1.15e-05}, time_taken=0.0011229515075683594)"
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
@@ -416,7 +406,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
@@ -427,19 +417,11 @@
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"PrimitiveResult([PubResult(data=DataBin(evs=np.ndarray(<shape=(), dtype=float64>), stds=np.float64(0.0)), metadata={'target_precision': 0.028467047115478598, 'shots': 1235, 'circuit_metadata': {}})], metadata={'version': 2})\n",
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"PrimitiveResult([PubResult(data=DataBin(evs=np.ndarray(<shape=(), dtype=float64>), stds=np.float64(0.0)), metadata={'target_precision': 0.01521275485262189, 'shots': 4321, 'circuit_metadata': {}})], metadata={'version': 2})\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"C:\\Users\\mow\\AppData\\Local\\Temp\\ipykernel_28608\\735415858.py:2: DeprecationWarning: The class ``qiskit.primitives.backend_sampler.BackendSampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `BackendSampler` class is `BackendSamplerV2`.\n",
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" BackendSampler(Aer.get_backend(\"qasm_simulator\")),\n"
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]
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}
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],
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"source": [
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"executor = Executor(\n",
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" BackendSampler(Aer.get_backend(\"qasm_simulator\")),\n",
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" BackendSamplerV2(backend=Aer.get_backend(\"qasm_simulator\")),\n",
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" log_file=\"example_log_cache.log\",\n",
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" caching=True,\n",
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" cache_dir=\"_cache\",\n",
@@ -472,7 +454,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "venv",
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"display_name": "squlearn",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.9"
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"version": "3.13.12"
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},
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"orig_nbformat": 4
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},

‎examples/qnn/example_qcnn_encoding_circuit.ipynb‎

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