Merge branch 'master' into capture-grad-pytrees

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

@@ -379,8 +379,7 @@ jobs:
       # catalyst requires the latest version of pennylane that is about to be released.
       # Installing catalyst after pennylane to make sure that the latest catalyst is used.
       install_catalyst_nightly: true
-      # using lightning master does not work for the tests with external libraries
-      install_pennylane_lightning_master: false
+      install_pennylane_lightning_master: true
       pytest_coverage_flags: ${{ inputs.pytest_coverage_flags }}
       pytest_markers: external
       additional_pip_packages: pyzx matplotlib stim quimb mitiq pennylane-qiskit ply

Makefile

@@ -60,12 +60,10 @@ clean-docs:
 
 test:
 	$(PYTHON) $(TESTRUNNER)
-	$(PYTHON) $(PLUGIN_TESTRUNNER) --device=default.qubit.autograd
 
 coverage:
 	@echo "Generating coverage report..."
 	$(PYTHON) $(TESTRUNNER) $(COVERAGE)
-	$(PYTHON) $(PLUGIN_TESTRUNNER) --device=default.qubit.autograd $(COVERAGE) --cov-append
 
 .PHONY:format
 format:

doc/development/deprecations.rst

@@ -9,24 +9,19 @@ deprecations are listed below.
 Pending deprecations
 --------------------
 
+* ``Device``, ``QubitDevice``, and ``QutritDevice`` will no longer be imported top level in v0.40.  They instead
+  we be available as ``qml.devices.LegacyDevice``, ``qml.devices.QubitDevice``, and ``qml.devices.QutritDevice``
+  respectively.
+
+  - Deprecated top level access in v0.39
+  - Top level access removed in v0.40
+
 * `QNode.gradient_fn` is deprecated. Please use `QNode.diff_method` instead. `QNode.get_gradient_fn` can also be used to
   process the diff method.
 
   - Deprecated in v0.39
   - Will be removed in v0.40
 
-* All of the legacy devices (any with the name ``default.qubit.{autograd,torch,tf,jax,legacy}``) are deprecated. Use ``default.qubit`` instead,
-  as it supports backpropagation for the many backends the legacy devices support.
-
-  - Deprecated in v0.38
-  - Will be removed in v0.39
-
-* The logic for internally switching a device for a different backpropagation
-  compatible device is now deprecated, as it was in place for the deprecated ``default.qubit.legacy``.
-
-  - Deprecated in v0.38
-  - Will be removed in v0.39  
-
 * The ``decomp_depth`` argument in ``qml.device`` is deprecated. 
 
   - Deprecated in v0.38
@@ -88,6 +83,18 @@ Other deprecations
 Completed deprecation cycles
 ----------------------------
 
+* All of the legacy devices (any with the name ``default.qubit.{autograd,torch,tf,jax,legacy}``) are removed. Use ``default.qubit`` instead,
+  as it supports backpropagation for the many backends the legacy devices support.
+
+  - Deprecated in v0.38
+  - Removed in v0.39
+
+* The logic for internally switching a device for a different backpropagation
+  compatible device is removed, as it was in place for removed ``default.qubit.legacy``.
+
+  - Deprecated in v0.38
+  - Removed in v0.39
+
 * `Operator.expand` is now removed. Use `qml.tape.QuantumScript(op.deocomposition())` instead.
 
   - Deprecated in v0.38

doc/releases/changelog-dev.md

@@ -60,10 +60,12 @@
 * Remove support for Python 3.9.
   [(#6223)](https://github.com/PennyLaneAI/pennylane/pull/6223)
 
-* `DefaultQubitTF`, `DefaultQubitTorch`, and `DefaultQubitJax` are removed. Please use `default.qubit` for all interfaces.
+* `DefaultQubitTF`, `DefaultQubitTorch`, `DefaultQubitJax`, and `DefaultQubitAutograd` are removed.
+  Please use `default.qubit` for all interfaces.
   [(#6207)](https://github.com/PennyLaneAI/pennylane/pull/6207)
   [(#6208)](https://github.com/PennyLaneAI/pennylane/pull/6208)
   [(#6209)](https://github.com/PennyLaneAI/pennylane/pull/6209)
+  [(#6210)](https://github.com/PennyLaneAI/pennylane/pull/6210)
 
 * `expand_fn`, `max_expansion`, `override_shots`, and `device_batch_transform` are removed from the
   signature of `qml.execute`.
@@ -82,8 +84,14 @@
 * `Operator.expand` is now removed. Use `qml.tape.QuantumScript(op.deocomposition())` instead.
   [(#6227)](https://github.com/PennyLaneAI/pennylane/pull/6227)
 
+
 <h3>Deprecations 👋</h3>
 
+* `Device`, `QubitDevice`, and `QutritDevice` will no longer be accessible via top-level import in v0.40.
+  They will still be accessible as `qml.devices.LegacyDevice`, `qml.devices.QubitDevice`, and `qml.devices.QutritDevice`
+  respectively.
+  [(#6238)](https://github.com/PennyLaneAI/pennylane/pull/6238/)
+
 * `QNode.gradient_fn` is deprecated. Please use `QNode.diff_method` and `QNode.get_gradient_fn` instead.
   [(#6244)](https://github.com/PennyLaneAI/pennylane/pull/6244)
 

pennylane/__init__.py

@@ -16,8 +16,6 @@
 PennyLane can be directly imported.
 """
 
-import numpy as _np
-
 
 from pennylane.boolean_fn import BooleanFn
 import pennylane.numpy
@@ -180,13 +178,30 @@ def __getattr__(name):
     if name == "plugin_devices":
         return pennylane.devices.device_constructor.plugin_devices
 
+    from warnings import warn  # pylint: disable=import-outside-toplevel
+
     if name == "QubitDevice":
+        warn(
+            "QubitDevice will no longer be accessible top level. Please access "
+            " the class as pennylane.devices.QubitDevice",
+            PennyLaneDeprecationWarning,
+        )
         return pennylane.devices._qubit_device.QubitDevice  # pylint:disable=protected-access
 
     if name == "QutritDevice":
+        warn(
+            "QutritDevice will no longer be accessible top level. Please access "
+            " the class as pennylane.devices.QutritDevice",
+            PennyLaneDeprecationWarning,
+        )
         return pennylane.devices._qutrit_device.QutritDevice  # pylint:disable=protected-access
 
     if name == "Device":
+        warn(
+            "Device will no longer be accessible top level. Please access "
+            " the class as pennylane.devices.LegacyDevice",
+            PennyLaneDeprecationWarning,
+        )
         return pennylane.devices._legacy_device.Device  # pylint:disable=protected-access
 
     raise AttributeError(f"module 'pennylane' has no attribute '{name}'")

pennylane/devices/__init__.py

@@ -27,7 +27,6 @@
 
     default_qubit
     default_qubit_legacy
-    default_qubit_autograd
     default_gaussian
     default_mixed
     default_qutrit
@@ -153,9 +152,6 @@ def execute(self, circuits, execution_config = qml.devices.DefaultExecutionConfi
 from .default_qubit import DefaultQubit
 from .legacy_facade import LegacyDeviceFacade
 
-# DefaultQubitTF and DefaultQubitAutograd not imported here since this
-# would lead to an automatic import of tensorflow and autograd, which are
-# not PennyLane core dependencies.
 # DefaultTensor is not imported here to avoid warnings
 # from quimb in case it is installed on the system.
 from .default_qubit_legacy import DefaultQubitLegacy

pennylane/devices/default_qubit_legacy.py

@@ -713,9 +713,7 @@ def capabilities(cls):
             supports_analytic_computation=True,
             supports_broadcasting=True,
             returns_state=True,
-            passthru_devices={
-                "autograd": "default.qubit.autograd",
-            },
+            passthru_devices={},
         )
         return capabilities