Merge branch 'compatible-np-2.0' of https://github.com/PennyLaneAI/pe…

…nnylane into update_jax

.github/workflows/install_deps/action.yml

@@ -8,16 +8,6 @@ inputs:
  description: The version of Python to use in order to run unit tests
  required: false
  default: '3.10'
- install_numpy_2:
- description: Indicate if numpy 2.0+ should be installed or not
- required: false
- type: boolean
- default: false
- numpy_2_version:
- description: The version of numpy 2.0 to use in order to run unit tests
- required: false
- type: string
- default: '2.0.0'
  install_jax:
  description: Indicate if JAX should be installed or not
  required: false
@@ -77,13 +67,6 @@ runs:
  pip install -r requirements-ci.txt --upgrade
  pip install -r requirements-dev.txt --upgrade
 
- - name: Install numpy 2.0 version
- shell: bash
- if: inputs.install_numpy_2 == 'true'
- env:
- NUMPY2_VERSION: ${{ inputs.numpy_2_version != '' && format('~={0}', inputs.numpy_2_version) || '' }}
- run: pip install "numpy${{ env.NUMPY2_VERSION }}"
-
  - name: Install PyTorch
  shell: bash
  if: inputs.install_pytorch == 'true'

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

@@ -95,10 +95,10 @@ jobs:
  cat >matrix_max_parallel.json <<-EOF
  {
  "default": 1,
- "core-tests": 8,
+ "core-tests": 5,
  "gradients-tests": 2,
  "jax-tests": 5,
- "tf-tests": 2,
+ "tf-tests": 3,
  "device-tests": 2
  }
  EOF
@@ -152,16 +152,14 @@ jobs:
  fromJSON(needs.setup-ci-load.outputs.python-version).torch-tests
  || fromJSON(needs.setup-ci-load.outputs.python-version).default
  }}
- numpy-2-install: [true, false]
  if: ${{ !contains(fromJSON(needs.setup-ci-load.outputs.jobs-to-skip), 'torch-tests') }}
  uses: ./.github/workflows/unit-test.yml
  with:
- job_name: torch-tests (${{ matrix.python-version }}, numpy 2.0 ${{ matrix.numpy-2-install }})
+ job_name: torch-tests (${{ matrix.python-version }})
  branch: ${{ inputs.branch }}
- coverage_artifact_name: core-interfaces-coverage-torch-${{ matrix.python-version }}-${{ matrix.numpy-2-install }}
+ coverage_artifact_name: core-interfaces-coverage-torch-${{ matrix.python-version }}
  python_version: ${{ matrix.python-version }}
  pipeline_mode: ${{ inputs.pipeline_mode }}
- install_numpy_2: ${{ matrix.numpy-2-install }}
  install_jax: false
  install_tensorflow: false
  install_pytorch: true
@@ -187,16 +185,14 @@ jobs:
  fromJSON(needs.setup-ci-load.outputs.python-version).autograd-tests
  || fromJSON(needs.setup-ci-load.outputs.python-version).default
  }}
- numpy-2-install: [true, false] 
  if: ${{ !contains(fromJSON(needs.setup-ci-load.outputs.jobs-to-skip), 'autograd-tests') }}
  uses: ./.github/workflows/unit-test.yml
  with:
- job_name: autograd-tests (${{ matrix.python-version }}, numpy 2.0 ${{ matrix.numpy-2-install }})
+ job_name: autograd-tests (${{ matrix.python-version }})
  branch: ${{ inputs.branch }}
- coverage_artifact_name: core-interfaces-coverage-autograd-${{ matrix.python-version }}-${{ matrix.numpy-2-install }}
+ coverage_artifact_name: core-interfaces-coverage-autograd-${{ matrix.python-version }}
  python_version: ${{ matrix.python-version }}
  pipeline_mode: ${{ inputs.pipeline_mode }}
- install_numpy_2: ${{ matrix.numpy-2-install }}
  install_jax: false
  install_tensorflow: false
  install_pytorch: false
@@ -300,16 +296,14 @@ jobs:
  fromJSON(needs.setup-ci-load.outputs.python-version).core-tests
  || fromJSON(needs.setup-ci-load.outputs.python-version).default
  }}
- numpy-2-install: [true, false] 
  if: ${{ !contains(fromJSON(needs.setup-ci-load.outputs.jobs-to-skip), 'core-tests') }}
  uses: ./.github/workflows/unit-test.yml
  with:
- job_name: core-tests (${{ matrix.group }}, ${{ matrix.python-version }}, numpy 2.0 ${{ matrix.numpy-2-install }})
+ job_name: core-tests (${{ matrix.group }}, ${{ matrix.python-version }})
  branch: ${{ inputs.branch }}
- coverage_artifact_name: core-interfaces-coverage-core-${{ matrix.python-version }}-${{ matrix.group }}-${{ matrix.numpy-2-install }}
+ coverage_artifact_name: core-interfaces-coverage-core-${{ matrix.python-version }}-${{ matrix.group }}
  python_version: ${{ matrix.python-version }}
  pipeline_mode: ${{ inputs.pipeline_mode }}
- install_numpy_2: ${{ matrix.numpy-2-install }}
  install_jax: false
  install_tensorflow: false
  install_pytorch: false
@@ -387,8 +381,7 @@ 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
@@ -511,16 +504,14 @@ jobs:
  fromJSON(needs.setup-ci-load.outputs.python-version).data-tests
  || fromJSON(needs.setup-ci-load.outputs.python-version).default
  }}
- numpy-2-install: [true, false]
  if: ${{ !contains(fromJSON(needs.setup-ci-load.outputs.jobs-to-skip), 'data-tests') }}
  uses: ./.github/workflows/unit-test.yml
  with:
- job_name: data-tests (${{ matrix.python-version }}, numpy 2.0 ${{ matrix.numpy-2-install }})
+ job_name: data-tests (${{ matrix.python-version }})
  branch: ${{ inputs.branch }}
- coverage_artifact_name: data-coverage-${{ matrix.python-version }}-${{ matrix.numpy-2-install }}
+ coverage_artifact_name: data-coverage-${{ matrix.python-version }}
  python_version: ${{ matrix.python-version }}
  pipeline_mode: ${{ inputs.pipeline_mode }}
- install_numpy_2: ${{ matrix.numpy-2-install }}
  install_jax: false
  install_tensorflow: false
  install_pytorch: false

.github/workflows/unit-test.yml

@@ -24,16 +24,6 @@ on:
  required: false
  type: string
  default: '3.10'
- install_numpy_2:
- description: Indicate if numpy 2.0+ should be installed or not
- required: false
- type: boolean
- default: false
- numpy_2_version:
- description: The version of numpy 2.0 to use in order to run unit tests
- required: false
- type: string
- default: '2.0'
  pipeline_mode:
  description: The pipeline mode can be unit-tests, benchmarks, or reference-benchmark
  required: false
@@ -168,8 +158,6 @@ jobs:
  uses: ./.github/workflows/install_deps
  with:
  python_version: ${{ inputs.python_version }}
- numpy_2_version: ${{ inputs.numpy_2_version }}
- install_numpy_2: ${{ inputs.install_numpy_2 }}
  install_pytorch: ${{ inputs.install_pytorch }}
  install_tensorflow: ${{ inputs.install_tensorflow }}
  install_jax: ${{ inputs.install_jax }}

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

@@ -9,17 +9,18 @@ deprecations are listed below.
 Pending deprecations
 --------------------
 
-* 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.
+* ``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 in v0.38
- - Will be removed in v0.39
+ - Deprecated top level access in v0.39
+ - Top level access removed in v0.40
 
-* 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``.
+* `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 v0.38
- - Will be removed in v0.39 
+ - Deprecated in v0.39
+ - Will be removed in v0.40
 
 * The ``decomp_depth`` argument in ``qml.device`` is deprecated. 
 
@@ -82,6 +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/development/release_notes.md

@@ -5,6 +5,8 @@ This page contains the release notes for PennyLane.
 
 .. mdinclude:: ../releases/changelog-dev.md
 
+.. mdinclude:: ../releases/changelog-0.38.1.md
+
 .. mdinclude:: ../releases/changelog-0.38.0.md
 
 .. mdinclude:: ../releases/changelog-0.37.0.md

doc/releases/changelog-0.38.0.md

@@ -1,6 +1,6 @@
 :orphan:
 
-# Release 0.38.0 (current release)
+# Release 0.38.0
 
 <h3>New features since last release</h3>
 

doc/releases/changelog-0.38.1.md

@@ -0,0 +1,14 @@
+:orphan:
+
+# Release 0.38.1 (current release)
+
+<h3>Bug fixes 🐛</h3>
+
+* Fix float-to-complex casting in various places across PennyLane.
+ [(#6260)](https://github.com/PennyLaneAI/pennylane/pull/6260)
+
+<h3>Contributors ✍️</h3>
+
+This release contains contributions from (in alphabetical order):
+
+Mudit Pandey

doc/releases/changelog-dev.md

@@ -6,6 +6,9 @@
 
 <h3>Improvements 🛠</h3>
 
+* PennyLane is now compatible with NumPy 2.0.
+ [(#6061)](https://github.com/PennyLaneAI/pennylane/pull/6061)
+
 * `qml.qchem.excitations` now optionally returns fermionic operators.
  [(#6171)](https://github.com/PennyLaneAI/pennylane/pull/6171)
 
@@ -25,9 +28,10 @@
 * Differentiation of hybrid programs via `qml.grad` and `qml.jacobian` can now be captured
  into plxpr. When evaluating a captured `qml.grad` (`qml.jacobian`) instruction, it will
  dispatch to `jax.grad` (`jax.jacobian`), which differs from the Autograd implementation
- without capture.
+ without capture. Pytree inputs and outputs are supported.
  [(#6120)](https://github.com/PennyLaneAI/pennylane/pull/6120)
  [(#6127)](https://github.com/PennyLaneAI/pennylane/pull/6127)
+ [(#6134)](https://github.com/PennyLaneAI/pennylane/pull/6134)
 
 * Improve unit testing for capturing of nested control flows.
  [(#6111)](https://github.com/PennyLaneAI/pennylane/pull/6111)
@@ -59,10 +63,12 @@
 * 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`.
@@ -81,8 +87,17 @@
 * `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)
+
 <h3>Documentation 📝</h3>
 
 <h3>Bug fixes 🐛</h3>
@@ -102,13 +117,18 @@
 * The ``qml.Qubitization`` template now orders the ``control`` wires first and the ``hamiltonian`` wires second, which is the expected according to other templates.
  [(#6229)](https://github.com/PennyLaneAI/pennylane/pull/6229)
 
+* The ``qml.FABLE`` template now returns the correct value when JIT is enabled.
+ [(#6263)](https://github.com/PennyLaneAI/pennylane/pull/6263)
+
 * <h3>Contributors ✍️</h3>
 
 This release contains contributions from (in alphabetical order):
 
 Guillermo Alonso,
 Utkarsh Azad,
 Lillian M. A. Frederiksen,
+Pietropaolo Frisoni,
+Emiliano Godinez,
 Christina Lee,
 William Maxwell,
 Lee J. O'Riordan,

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}'")