v32 removals (#4301)

* v32 removals

* fix

* remove deprecation test

* remove additional failing test

* Update doc/releases/changelog-dev.md

Co-authored-by: Matthew Silverman <matthews@xanadu.ai>

* rename _zyz_decomposition_old to _rot_decomposition

---------

Co-authored-by: Matthew Silverman <matthews@xanadu.ai>

doc/development/deprecations.rst

@@ -6,76 +6,20 @@ Deprecations
 Pending deprecations
 --------------------
 
-* The ``grouping_type`` and ``grouping_method`` arguments of ``qchem.molecular_hamiltonian()`` are deprecated.
-
-  - Deprecated in v0.31
-  - Will be removed in v0.32
-
-  Instead, simply construct a new instance of ``Hamiltonian`` with the grouping specified:
-
-  .. code-block:: python
-
-    H, qubits = molecular_hamiltonian(symbols, coordinates)
-    grouped_h = qml.Hamiltonian(
-        H.coeffs,
-        H.ops,
-        grouping_type=grouping_type,
-        method=grouping_method,
-    )
-
-* ``zyz_decomposition`` and ``xyx_decomposition`` are deprecated, use ``one_qubit_decomposition`` with a rotations
-  keyword instead.
-
-  - Deprecated in v0.31
-  - Will be removed in v0.32
-
 * The ``do_queue`` keyword argument in ``qml.operation.Operator`` is deprecated. This affects
   all child classes, such as ``Operation``, ``Observable``, ``SymbolicOp`` and more. Instead of
   setting ``do_queue=False``, use the ``qml.QueuingManager.stop_recording()`` context.
 
   - Deprecated in v0.31
   - Will be removed in v0.32
 
-* ``LieAlgebraOptimizer`` has been renamed. Please use ``RiemannianGradientOptimizer`` instead.
-
-  - Deprecated in v0.31
-  - Will be removed in v0.32
-
-* The ``Operation.base_name`` property is deprecated. Please use ``Operator.name`` or ``type(obj).__name__`` instead.
-
-  - Still accessible in v0.31
-  - Removed in v0.32
-
-* ``qml.math.reduced_dm`` has been deprecated. Please use ``qml.math.reduce_dm`` or ``qml.math.reduce_statevector`` instead.
-
-  - Still accessible in v0.31
-  - Removed in v0.32
-
 * ``qml.math.purity``, ``qml.math.vn_entropy``, ``qml.math.mutual_info``, ``qml.math.fidelity``,
   ``qml.math.relative_entropy``, and ``qml.math.max_entropy`` no longer support state vectors as
   input. Please call ``qml.math.dm_from_state_vector`` on the input before passing to any of these functions.
 
   - Still accepted in v0.31
   - Removed in v0.32
 
-* The ``qml.specs`` dictionary will no longer support direct key access to certain keys. Instead
-  these quantities can be accessed as fields of the new ``Resources`` object saved under
-  ``specs_dict["resources"]``:
-
-  - ``num_operations`` will no longer be supported, use ``specs_dict["resources"].num_gates``
-  - ``num_used_wires`` will no longer be supported, use ``specs_dict["resources"].num_wires``
-  - ``gate_types`` will no longer be supported, use ``specs_dict["resources"].gate_types``
-  - ``gate_sizes`` will no longer be supported, use ``specs_dict["resources"].gate_sizes``
-  - ``depth`` will no longer be supported, use ``specs_dict["resources"].depth``
-
-  These keys are still accessible in v0.31 and will be removed in v0.32.
-
-* ``QuantumScript``'s ``name`` keyword argument and property are deprecated.
-  This also affects ``QuantumTape`` and ``OperationRecorder``.
-
-  - Deprecated in v0.31
-  - Will be removed in v0.32
-
 * The ``observables`` argument in ``QubitDevice.statistics`` is deprecated. Please use ``circuit``
   instead. Using a list of observables in ``QubitDevice.statistics`` is deprecated. Please use a
   ``QuantumTape`` instead.
@@ -122,6 +66,63 @@ Pending deprecations
 Completed deprecation cycles
 ----------------------------
 
+* The ``qml.specs`` dictionary longer supports direct key access to certain keys. Instead
+  these quantities can be accessed as fields of the new ``Resources`` object saved under
+  ``specs_dict["resources"]``:
+
+  - ``num_operations`` is no longer supported, use ``specs_dict["resources"].num_gates``
+  - ``num_used_wires`` is no longer supported, use ``specs_dict["resources"].num_wires``
+  - ``gate_types`` is no longer supported, use ``specs_dict["resources"].gate_types``
+  - ``gate_sizes`` is no longer supported, use ``specs_dict["resources"].gate_sizes``
+  - ``depth`` is no longer supported, use ``specs_dict["resources"].depth``
+
+  These keys were still accessible in v0.31 and removed in v0.32.
+
+* ``qml.math.reduced_dm`` has been removed. Please use ``qml.math.reduce_dm`` or ``qml.math.reduce_statevector`` instead.
+
+  - Still accessible in v0.31
+  - Removed in v0.32
+
+* ``QuantumScript``'s ``name`` keyword argument and property are removed.
+  This also affects ``QuantumTape`` and ``OperationRecorder``.
+
+  - Deprecated in v0.31
+  - Removed in v0.32
+
+* The ``Operation.base_name`` property is removed. Please use ``Operator.name`` or ``type(obj).__name__`` instead.
+
+  - Still accessible in v0.31
+  - Removed in v0.32
+
+* ``LieAlgebraOptimizer`` has been renamed. Please use ``RiemannianGradientOptimizer`` instead.
+
+  - Deprecated in v0.31
+  - Removed in v0.32
+
+
+* The ``grouping_type`` and ``grouping_method`` arguments of ``qchem.molecular_hamiltonian()`` are removed.
+
+  - Deprecated in v0.31
+  - Removed in v0.32
+
+  Instead, simply construct a new instance of ``Hamiltonian`` with the grouping specified:
+
+  .. code-block:: python
+
+    H, qubits = molecular_hamiltonian(symbols, coordinates)
+    grouped_h = qml.Hamiltonian(
+        H.coeffs,
+        H.ops,
+        grouping_type=grouping_type,
+        groupingmethod=grouping_method,
+    )
+
+* ``zyz_decomposition`` and ``xyx_decomposition`` are removed, use ``one_qubit_decomposition`` with a rotations
+  keyword instead.
+
+  - Deprecated in v0.31
+  - Removed in v0.32
+
 * The ``qml.utils.sparse_hamiltonian`` function has been removed. ``~.Hamiltonian.sparse_matrix`` should be used instead.
 
   - Deprecated in v0.29

doc/introduction/interfaces/numpy.rst

@@ -196,7 +196,6 @@ use the provided optimizers:
     ~pennylane.AdagradOptimizer
     ~pennylane.AdamOptimizer
     ~pennylane.GradientDescentOptimizer
-    ~pennylane.LieAlgebraOptimizer
     ~pennylane.MomentumOptimizer
     ~pennylane.NesterovMomentumOptimizer
     ~pennylane.QNGOptimizer

doc/releases/changelog-dev.md

@@ -8,6 +8,28 @@
 
 <h3>Breaking changes 💔</h3>
 
+* The `grouping_type` and `grouping_method` keyword arguments are removed from `qchem.molecular_hamiltonian`.
+
+* `zyz_decomposition` and `xyx_decomposition` are removed. Use `one_qubit_decomposition` instead.
+
+* `LieAlgebraOptimizer` has been removed. Use `RiemannianGradientOptimizer` instead.
+
+* `Operation.base_name` has been removed.
+
+* `QuantumScript.name` has been removed.
+
+* `qml.math.reduced_dm` has been removed. Use `qml.math.reduce_dm` or `qml.math.reduce_statevector` instead.
+
+* The ``qml.specs`` dictionary longer supports direct key access to certain keys. Instead
+  these quantities can be accessed as fields of the new ``Resources`` object saved under
+  ``specs_dict["resources"]``:
+
+  - ``num_operations`` is no longer supported, use ``specs_dict["resources"].num_gates``
+  - ``num_used_wires`` is no longer supported, use ``specs_dict["resources"].num_wires``
+  - ``gate_types`` is no longer supported, use ``specs_dict["resources"].gate_types``
+  - ``gate_sizes`` is no longer supported, use ``specs_dict["resources"].gate_sizes``
+  - ``depth`` is no longer supported, use ``specs_dict["resources"].depth``
+
 <h3>Deprecations 👋</h3>
 
 <h3>Documentation 📝</h3>
@@ -21,4 +43,5 @@
 
 This release contains contributions from (in alphabetical order):
 
-Matthew Silverman
+Christina Lee,
+Matthew Silverman

pennylane/math/__init__.py

@@ -71,7 +71,6 @@
     marginal_prob,
     mutual_info,
     purity,
-    reduced_dm,
     reduce_dm,
     reduce_statevector,
     relative_entropy,
@@ -153,7 +152,6 @@ def __getattr__(name):
     "ones_like",
     "purity",
     "reduce_dm",
-    "reduced_dm",
     "relative_entropy",
     "reduce_statevector",
     "requires_grad",

pennylane/math/quantum.py

@@ -238,8 +238,7 @@ def reduce_dm(density_matrix, indices, check_state=False, c_dtype="complex128"):
     Returns:
         tensor_like: Density matrix of size ``(2**len(indices), 2**len(indices))`` or ``(batch_dim, 2**len(indices), 2**len(indices))``
 
-    .. seealso:: :func:`pennylane.math.reduce_statevector`, :func:`pennylane.qinfo.transforms.reduced_dm`,
-        and :func:`pennylane.density_matrix`
+    .. seealso:: :func:`pennylane.math.reduce_statevector`, and :func:`pennylane.density_matrix`
 
     **Example**
 
@@ -436,8 +435,7 @@ def reduce_statevector(state, indices, check_state=False, c_dtype="complex128"):
     Returns:
         tensor_like: Density matrix of size ``(2**len(indices), 2**len(indices))`` or ``(batch_dim, 2**len(indices), 2**len(indices))``
 
-    .. seealso:: :func:`pennylane.math.reduce_dm`, :func:`pennylane.qinfo.transforms.reduced_dm`,
-        and :func:`pennylane.density_matrix`
+    .. seealso:: :func:`pennylane.math.reduce_dm` and :func:`pennylane.density_matrix`
 
     **Example**
 
@@ -550,68 +548,6 @@ def dm_from_state_vector(state, check_state=False, c_dtype="complex128"):
     )
 
 
-def reduced_dm(state, indices, check_state=False, c_dtype="complex128"):
-    """Compute the reduced density matrix from a state vector or a density matrix. It supports all interfaces (Numpy,
-    Autograd, Torch, Tensorflow and Jax).
-
-    Args:
-        state (tensor_like): ``(2**N)`` state vector or ``(2**N, 2**N)`` density matrix.
-        indices (Sequence(int)): List of indices in the considered subsystem.
-        check_state (bool): If True, the function will check the state validity (shape and norm).
-        c_dtype (str): Complex floating point precision type.
-
-    Returns:
-        tensor_like: Reduced density matrix of size ``(2**len(indices), 2**len(indices))``
-
-    **Example**
-
-    >>> x = [1, 0, 1, 0] / np.sqrt(2)
-    >>> reduced_dm(x, indices=[0])
-    [[0.5+0.j 0.5+0.j]
-     [0.5+0.j 0.5+0.j]]
-
-    >>> reduced_dm(x, indices=[1])
-    [[1.+0.j 0.+0.j]
-     [0.+0.j 0.+0.j]]
-
-    >>> y = tf.Variable([1, 0, 0, 0], dtype=tf.complex128)
-    >>> reduced_dm(y, indices=[1])
-    tf.Tensor(
-    [[1.+0.j 0.+0.j]
-     [0.+0.j 0.+0.j]], shape=(2, 2), dtype=complex128)
-
-    >>> z = [[0.5, 0, 0.0, 0.5], [0, 0, 0, 0], [0, 0, 0, 0], [0.5, 0, 0, 0.5]]
-    >>> reduced_dm(z, indices=[0])
-    [[0.5+0.j 0.0+0.j]
-     [0.0+0.j 0.5+0.j]]
-
-    >>> reduced_dm(z, indices=[1])
-    [[1.+0.j 0.+0.j]
-     [0.+0.j 0.+0.j]]
-
-    >>> y_mat_tf = tf.Variable([[1, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]], dtype=tf.complex128)
-    >>> reduced_dm(y_mat_tf, indices=[1])
-    tf.Tensor(
-    [[1.+0.j 0.+0.j]
-     [0.+0.j 0.+0.j]], shape=(2, 2), dtype=complex128)
-
-    .. seealso:: :func:`pennylane.qinfo.transforms.reduced_dm` and :func:`pennylane.density_matrix`
-    """
-    warnings.warn(
-        "reduced_dm has been deprecated. Please use reduce_statevector or reduce_dm instead",
-        UserWarning,
-    )
-
-    # Cast as a c_dtype array
-    state = cast(state, dtype=c_dtype)
-    len_state = state.shape[0]
-    # State vector
-    if state.shape == (len_state,):
-        return reduce_statevector(state, indices, check_state)
-
-    return reduce_dm(state, indices, check_state)
-
-
 def purity(state, indices, check_state=False, c_dtype="complex128"):
     r"""Computes the purity of a density matrix.
 

pennylane/operation.py

@@ -1659,15 +1659,6 @@ def parameter_frequencies(self):
             "and parameter frequencies can not be computed as no generator is defined."
         )
 
-    @property
-    def base_name(self):
-        """Holdover from when in-place inversion changed then name. To be removed."""
-        warnings.warn(
-            "Operation.base_name is deprecated. Please use type(obj).__name__ or obj.name instead.",
-            UserWarning,
-        )
-        return self.__class__.__name__
-
     def __init__(self, *params, wires=None, do_queue=None, id=None):
         super().__init__(*params, wires=wires, do_queue=do_queue, id=id)
 

pennylane/ops/op_math/adjoint.py

@@ -15,7 +15,6 @@
 This submodule defines the symbolic operation that indicates the adjoint of an operator.
 """
 from functools import wraps
-import warnings
 
 import pennylane as qml
 from pennylane.math import conj, moveaxis, transpose
@@ -338,14 +337,6 @@ class AdjointOperation(Operation):
     class can be removed.
     """
 
-    @property
-    def base_name(self):
-        warnings.warn(
-            "Operation.base_name is deprecated. Please use type(obj).__name__ or obj.name instead.",
-            UserWarning,
-        )
-        return self._name
-
     @property
     def name(self):
         return self._name

pennylane/ops/op_math/controlled.py

@@ -624,14 +624,6 @@ def __init__(
             # Make sure grad_recipe is an iterable of correct length instead of None
             self.grad_recipe = [None] * self.num_params
 
-    @property
-    def base_name(self):
-        warnings.warn(
-            "Operation.base_name is deprecated. Please use type(obj).__name__ or obj.name instead.",
-            UserWarning,
-        )
-        return f"C({self.base.base_name})"
-
     @property
     def name(self):
         return self._name

pennylane/ops/op_math/pow.py

@@ -134,14 +134,6 @@ class PowOperation(Operation):
     # until we add gradient support
     grad_method = None
 
-    @property
-    def base_name(self):
-        warnings.warn(
-            "Operation.base_name is deprecated. Please use type(obj).__name__ or obj.name instead.",
-            UserWarning,
-        )
-        return self._name
-
     @property
     def name(self):
         return self._name

pennylane/optimize/__init__.py

@@ -21,7 +21,6 @@
 from .adam import AdamOptimizer
 from .adaptive import AdaptiveOptimizer
 from .gradient_descent import GradientDescentOptimizer
-from .lie_algebra import LieAlgebraOptimizer
 from .momentum import MomentumOptimizer
 from .nesterov_momentum import NesterovMomentumOptimizer
 from .riemannian_gradient import RiemannianGradientOptimizer
@@ -39,7 +38,6 @@
     "AdamOptimizer",
     "AdaptiveOptimizer",
     "GradientDescentOptimizer",
-    "LieAlgebraOptimizer",
     "MomentumOptimizer",
     "NesterovMomentumOptimizer",
     "RMSPropOptimizer",