chore: drop support for Python 3.10 and add support for Python 3.13

.github/workflows/format.yml

@@ -32,17 +32,17 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
-          python-version: "3.10"
+          python-version: "3.11"
 
       - name: Install dependencies
-        run: pip install black pylint==2.7.4 isort==5.13.2
+        run: pip install black pylint==3.3.7 isort==6.0.1
 
       - uses: actions/checkout@v4
 
       - name: Run Black
         run: |
-          black -t py310 -t py311 -t py312 -l 100 pennylane/ --check
-          black -t py310 -t py311 -t py312 -l 100 tests/ --check
+          black -t py311 -t py312 -t py313 -l 100 pennylane/ --check
+          black -t py311 -t py312 -t py313 -l 100 tests/ --check
 
       - name: Run isort
         run: |

.github/workflows/interface-dependency-versions.yml

@@ -26,7 +26,7 @@ on:
         description: The version of TensorFlow to use for testing
         required: false
         type: string
-        default: '2.18.0'
+        default: '2.19.0'
       torch_version:
         description: The version of PyTorch to use for testing
         required: false

.github/workflows/interface-unit-tests.yml

@@ -48,7 +48,7 @@ on:
           Indicate if a lightened version of the CI should be run instead of the entire suite.
 
           The lightened version of the CI includes the following changes:
-          - Only Python 3.10 is tested against, instead of 3.10, 3.11, 3.12
+          - Only Python 3.11 is tested against, instead of 3.11, 3.12, 3.13
         required: false
         type: boolean
         default: false
@@ -140,31 +140,31 @@ jobs:
           then
             cat >python_versions.json <<-EOF
           {
-            "default": ["3.10"]
+            "default": ["3.11"]
           }
           EOF
           elif [ "${{ inputs.python_warning_level }}" == "error" ];
           then
             cat >python_versions.json <<-EOF
           {
-            "default": ["3.10"]
+            "default": ["3.11"]
           }
           EOF
           else
             cat >python_versions.json <<-EOF
           {
-            "default": ["3.10", "3.11", "3.12"],
-            "torch-tests": ["3.10", "3.12"],
-            "tf-tests": ["3.10", "3.12"],
-            "jax-tests": ["3.10", "3.12"],
-            "capture-jax-tests": ["3.10", "3.12"],
-            "all-interfaces-tests": ["3.10"],
-            "external-libraries-tests": ["3.10"],
-            "qcut-tests": ["3.10"],
-            "qchem-tests": ["3.10"],
-            "gradients-tests": ["3.10"],
-            "data-tests": ["3.10", "3.12"],
-            "device-tests": ["3.10"]
+            "default": ["3.11", "3.12", "3.13"],
+            "torch-tests": ["3.11", "3.13"],
+            "tf-tests": ["3.11", "3.12"],
+            "jax-tests": ["3.11", "3.13"],
+            "capture-jax-tests": ["3.11", "3.13"],
+            "all-interfaces-tests": ["3.11"],
+            "external-libraries-tests": ["3.11"],
+            "qcut-tests": ["3.11"],
+            "qchem-tests": ["3.11"],
+            "gradients-tests": ["3.11"],
+            "data-tests": ["3.11", "3.13"],
+            "device-tests": ["3.11"]
           }
           EOF
           fi
@@ -575,7 +575,7 @@ jobs:
       pytest_additional_args: ${{ needs.warnings-as-errors-setup.outputs.pytest_warning_args }}
       pytest_xml_file_path: '${{ inputs.job_name_prefix }}qcut-tests (${{ matrix.python-version }})${{ inputs.job_name_suffix }}.xml'
       additional_pip_packages: |
-        kahypar==1.1.7 
+        kahypar==1.3.5 
         opt_einsum
         ${{ needs.default-dependency-versions.outputs.jax-version }}
         ${{ needs.default-dependency-versions.outputs.tensorflow-version }}

.github/workflows/module-validation.yml

@@ -28,7 +28,7 @@ jobs:
         uses: actions/setup-python@v5
 
         with:
-          python-version: "3.10"
+          python-version: "3.11"
 
       - name: Install dependencies
         run: pip install tach==0.28.5

.github/workflows/rtd-check.yml

@@ -17,7 +17,7 @@ jobs:
   rtd_check:
     runs-on: ubuntu-24.04
     env:
-      PYTHON_VERSION: "3.10"
+      PYTHON_VERSION: "3.11"
       # Space separated list of packages to install for each package manager
       PIP_PACKAGES_TO_INSTALL: "sphinx"
       APT_PACKAGES_TO_INSTALL: "graphviz"

.github/workflows/tests-gpu.yml

@@ -18,7 +18,7 @@ concurrency:
   cancel-in-progress: true
 
 env:
-  TORCH_VERSION: 2.3.0
+  TORCH_VERSION: 2.5.1
 
 jobs:
   gpu-tests:
@@ -40,9 +40,9 @@ jobs:
       max-parallel: 2
       matrix:
         python-version:
-          - '3.10'
           - '3.11'
           - '3.12'
+          - '3.13'
 
     env:
       SUITE: gpu

.github/workflows/tests-labs.yml

@@ -65,7 +65,7 @@ jobs:
       additional_os_packages: libopenmpi-dev      
       pytest_additional_args: --import-mode=importlib
       pytest_coverage_flags:  --cov-config=pennylane/labs/.coveragerc --cov=pennylane/labs --cov-append --cov-report=term-missing --cov-report=xml --no-flaky-report --tb=native
-      python_version: '3.10'
+      python_version: '3.11'
       pytest_test_directory: pennylane/labs/tests
       additional_pip_packages: |
         geometric h5py basis_set_exchange pyscf galois

.github/workflows/unit-test.yml

@@ -41,7 +41,7 @@ on:
         description: The version of Python to use in order to run unit tests
         required: false
         type: string
-        default: '3.10'
+        default: '3.11'
       pytest_test_directory:
         description: The directory where the PennyLane tests are that should be run by PyTest
         required: false

.github/workflows/upload.yml

@@ -33,7 +33,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
-          python-version: "3.10"
+          python-version: "3.11"
 
       - name: Build PennyLane wheel
         run: |

.pylintrc

@@ -30,7 +30,16 @@ ignored-classes=jax,numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.num
 # it should appear only once).
 # Cyclical import checks are disabled for now as they are frequently used in
 # the code base, but this can be removed in the future once cycles are resolved.
-disable=line-too-long,invalid-name,too-many-lines,redefined-builtin,too-many-locals,duplicate-code,cyclic-import,import-error,bad-option-value
+disable=line-too-long,
+    invalid-name,
+    too-many-lines,
+    redefined-builtin,
+    too-many-locals,
+    duplicate-code,
+    cyclic-import,
+    import-error,
+    bad-option-value,
+    too-many-positional-arguments
 
 [MISCELLANEOUS]
 

.readthedocs.yml

@@ -8,7 +8,7 @@ version: 2
 build:
   os: ubuntu-24.04
   tools:
-    python: "3.10"
+    python: "3.11"
   apt_packages:
     - graphviz
 

README.md

@@ -67,7 +67,7 @@ For more details and additional features, please see the [PennyLane website](htt
 
 ## Installation
 
-PennyLane requires Python version 3.10 and above. Installation of PennyLane, as well as all
+PennyLane requires Python version 3.11 and above. Installation of PennyLane, as well as all
 dependencies, can be done using pip:
 
 ```console

doc/releases/changelog-dev.md

@@ -215,6 +215,9 @@
 
 <h3>Breaking changes 💔</h3>
 
+* Remove support for Python 3.10 and adds support for 3.13.
+  [(#7935)](https://github.com/PennyLaneAI/pennylane/pull/7935)
+
 * Move custom exceptions into `exceptions.py` and add a documentation page for them in the internals.
   [(#7856)](https://github.com/PennyLaneAI/pennylane/pull/7856)
 

pennylane/capture/dynamic_shapes.py

@@ -176,11 +176,11 @@ def _tracer_and_outvar(
         Returned vars are cached in env for use in future shapes
         """
         if not hasattr(outvar.aval, "shape"):
-            out_tracer = pe.DynamicJaxprTracer(jaxpr_trace, outvar.aval)
+            out_tracer = pe.DynamicJaxprTracer(jaxpr_trace, outvar.aval, None)
             return out_tracer, jaxpr_trace.makevar(out_tracer)
         new_shape = [s if isinstance(s, int) else env[s] for s in outvar.aval.shape]
         new_aval = jax.core.DShapedArray(tuple(new_shape), outvar.aval.dtype)
-        out_tracer = pe.DynamicJaxprTracer(jaxpr_trace, new_aval)
+        out_tracer = pe.DynamicJaxprTracer(jaxpr_trace, new_aval, None)
         new_var = jaxpr_trace.makevar(out_tracer)
 
         if not isinstance(outvar, jax.extend.core.Literal):

pennylane/decomposition/symbolic_decomposition.py

@@ -209,6 +209,7 @@ def _resource_fn(
         gate_counts[resource_rep(qml.PauliX)] = num_zero_control_values * 2
         return gate_counts
 
+    # pylint: disable=too-many-arguments
     @register_condition(_condition_fn)
     @register_resources(_resource_fn)
     def _impl(*params, wires, control_wires, control_values, work_wires, work_wire_type, base, **_):
@@ -288,6 +289,7 @@ def _flip_control_adjoint_resource(
     return {adjoint_resource_rep(inner_rep.op_type, inner_rep.params): 1}
 
 
+# pylint: disable=too-many-arguments
 @register_resources(_flip_control_adjoint_resource)
 def flip_control_adjoint(
     *_, wires, control_wires, control_values, work_wires, work_wire_type, base, **__
@@ -327,7 +329,7 @@ def _controlled_decomp_with_work_wire_resource(
     }
 
 
-# pylint: disable=protected-access,unused-argument
+# pylint: disable=protected-access,unused-argument, too-many-arguments
 @register_condition(_controlled_decomp_with_work_wire_condition)
 @register_resources(_controlled_decomp_with_work_wire_resource)
 def _controlled_decomp_with_work_wire(

pennylane/devices/default_clifford.py

@@ -551,6 +551,7 @@ def simulate(
         circuit = circuit.map_to_standard_wires()
 
         # Build a stim circuit, tableau and simulator
+        # pylint: disable=no-member
         stim_circuit = stim.Circuit()
         tableau_simulator = stim.TableauSimulator()
         if self.wires is not None:
@@ -640,6 +641,7 @@ def _apply_snapshot(
                 )
 
             # Build a temporary simulator for obtaining state
+            # pylint: disable=no-member
             snap_sim = stim.TableauSimulator()
             if self.wires is not None:
                 snap_sim.set_num_qubits(len(self.wires))
@@ -790,6 +792,7 @@ def _measure_expectation(self, meas, tableau_simulator, **kwargs):
             pauli_term = ["I"] * max(np.max(list(wire)) + 1, tableau_simulator.num_qubits)
             for op, wr in zip(pauli, wire):
                 pauli_term[wr] = op
+            # pylint:disable=no-member
             stim_pauli = stim.PauliString("".join(pauli_term))
             expecs[idx] = tableau_simulator.peek_observable_expectation(stim_pauli)
 
@@ -955,6 +958,7 @@ def _measure_probability(self, meas, _, **kwargs):
                 diagonalizing_cit.append_from_stim_program_text(f"{stim_op[0]} {stim_op[1]}")
 
         # Build the Tableau simulator from the diagonalized circuit
+        # pylint: disable=no-member
         circuit_simulator = stim.TableauSimulator()
         circuit_simulator.do_circuit(diagonalizing_cit)
         if not self._tableau:
@@ -1042,6 +1046,7 @@ def _sample_variance(self, meas, stim_circuit, shots, seed):
     @staticmethod
     def _measure_single_sample(stim_ct, meas_ops, meas_idx, meas_wire):
         """Sample a single qubit Pauli measurement from a stim circuit"""
+        # pylint: disable=no-member
         stim_sm = stim.TableauSimulator()
         stim_sm.do_circuit(stim_ct)
         res = [0] * meas_idx + meas_ops + [0] * (meas_wire - meas_idx - 1)

pennylane/drawer/draw.py

@@ -37,6 +37,7 @@ def catalyst_qjit(qnode):
     return qnode.__class__.__name__ == "QJIT" and hasattr(qnode, "user_function")
 
 
+# pylint: disable=too-many-arguments
 def draw(
     qnode,
     wire_order=None,
@@ -333,6 +334,7 @@ def wrapper(*args, **kwargs):
     return wrapper
 
 
+# pylint: disable=too-many-arguments
 def _draw_qnode(
     qnode,
     wire_order: Sequence | None = None,
@@ -386,6 +388,7 @@ def wrapper(*args, **kwargs):
     return wrapper
 
 
+# pylint: disable=too-many-arguments
 def draw_mpl(
     qnode: QNode | Callable,
     wire_order: Sequence | None = None,
@@ -824,6 +827,7 @@ def wrapper(*args, **kwargs):
     return wrapper
 
 
+# pylint: disable=too-many-arguments
 def _draw_mpl_qnode(
     qnode,
     wire_order=None,

pennylane/io/qualtran_io.py

@@ -416,7 +416,7 @@ def _(op: qtemps.subroutines.ModExp):
 
     gate_types = defaultdict(int, {})
     ctrl_spec = CtrlSpec(cvs=[1])
-    for comp_rep in mult_resources:
+    for comp_rep, value in mult_resources.items():
         new_rep = comp_rep.controlled(ctrl_spec)
         if comp_rep == qt_gates.CNOT():
             new_rep = qt_gates.Toffoli()
@@ -428,7 +428,7 @@ def _(op: qtemps.subroutines.ModExp):
             if comp_rep.subbloq.op.name == "QFT":
                 gate_types[new_rep] = 1
         else:
-            gate_types[new_rep] = mult_resources[comp_rep] * ((2**num_x_wires) - 1)
+            gate_types[new_rep] = value * ((2**num_x_wires) - 1)
 
     return gate_types
 

pennylane/labs/zxopt/full_optimize.py

@@ -125,7 +125,7 @@ def full_optimize(
     """
     if not has_zx:  # pragma: no cover
         raise ImportError(
-            "full_optimize requires the package pyzx. " "You can install it with pip install pyzx"
+            "full_optimize requires the package pyzx. You can install it with pip install pyzx"
         )  # pragma: no cover
 
     try:

pennylane/labs/zxopt/full_reduce.py

@@ -110,7 +110,7 @@ def full_reduce(tape: QuantumScript) -> tuple[QuantumScriptBatch, Postprocessing
     """
     if not has_zx:  # pragma: no cover
         raise ImportError(
-            "full_reduce requires the package pyzx. " "You can install it with pip install pyzx"
+            "full_reduce requires the package pyzx. You can install it with pip install pyzx"
         )  # pragma: no cover
 
     pyzx_circ = _tape2pyzx(tape)

pennylane/labs/zxopt/util.py

@@ -55,7 +55,7 @@ def _tape2pyzx(tape):
     """
     if not has_zx:  # pragma: no cover
         raise ImportError(
-            "_tape2pyzx requires the package pyzx. " "You can install it with pip install pyzx"
+            "_tape2pyzx requires the package pyzx. You can install it with pip install pyzx"
         )  # pragma: no cover
 
     g = Circuit.from_qasm(_remove_measurement_patterns(tape.to_openqasm()))

pennylane/ops/op_math/prod.py

@@ -242,7 +242,7 @@ def resource_params(self):
         return {"resources": resources}
 
     _op_symbol = "@"
-    _math_op = math.prod
+    _math_op = staticmethod(math.prod)
     grad_method = None
 
     @property

pennylane/ops/op_math/sum.py

@@ -207,7 +207,7 @@ def circuit(weights):
     """
 
     _op_symbol = "+"
-    _math_op = math.sum
+    _math_op = staticmethod(math.sum)
     grad_method = "A"
 
     def _flatten(self):

pennylane/transforms/decompositions/clifford_t_transform.py

@@ -83,7 +83,7 @@ def _add_catalyst_skip_op_types():
 
         _CATALYST_SKIP_OP_TYPES = (*_CATALYST_SKIP_OP_TYPES, MidCircuitMeasure)
     except (ModuleNotFoundError, ImportError):  # pragma: no cover
-        return
+        pass
 
 
 def _check_clifford_op(op, use_decomposition=False):