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Release notes `v0.25.0`

7

**Description of the Change:** Start working on the release notes before release candidate branch is created. **Release notes** * [x] Create sections * [x] Organize the order of entries *...

rmoyard

### Feature details When passing in the wires to `qml.SparseHamiltonian`, one could check that the shape of the sparse Hamiltonian corresponds to the number of wires passed in. ### Implementation...

antalszava

Add decomposition to `Controlled`

1

Currently, `ControlledOperation` created by `ctrl` has some very basic decomposition behaviour. But it at least has more decomposition behaviour than the non-integrated `Controlled`. This PR makes `Controlled` reach feature-parity with...

albi3ro

Update `qml.math.allclose` to work for trainable Torch tensors (motivated by `qml.equal`)

2

**Context:** ```py pl_tensor = qml.numpy.array(0.3, requires_grad=True) torch_tensor = torch.tensor(0.3, requires_grad=True) qml.math.allclose(pl_tensor, torch_tensor) ``` Raises ```py RuntimeError: Can't call numpy() on Tensor that requires grad. Use tensor.detach().numpy() instead. ``` **Description of...

antalszava

Fix docker & update pypi uploader

2

**Description of the Change:** - Copy of this PR: https://github.com/PennyLaneAI/pennylane/pull/2923 - Update the tests to be run before uploading PennyLane to pypi

rmoyard

Exponential operator wrapper

2

This wrapper allows us to represent the exponential of an operator. It has an optional keyword argument that allows the specification of a scalar coefficient. This allows us to easily...

albi3ro

[Classical Shadows 1] Classical shadow measurement process

5

**Context:** This is the first PR in a series to support the classical shadow protocol in PennyLane. Currently it is possible for the user to implement the classical shadow protocol...

eddddddy

[WIP] [ClassicalShadow 3] diffable `classical_shadow_expval`

4

Attempting to define a new measurement `classical_shadow_expval` which allows to differentiate expectation values evaluated with classical shadows. **Context:** The problem with post-processing the classical shadows obtained from the `classical_shadow` measurement...

Qottmann

Qutrit Non-Parametric Ops #1 (TShift, TClock)

1

**Context:** There are very few simulators available today that offer qudit simulation. One notable example is [Google's Cirq](https://quantumai.google/cirq/qudits), which includes support for qudit operations. However, the simulator is far from...

mudit2812

[Classical Shadows 2] `ClassicalShadow` class

5

**Context:** builds on top of https://github.com/PennyLaneAI/pennylane/pull/2820 Adding a `qml.ClassicalShadow` class that takes in `bitstrings` and `recipes` from the `qml.classical_shadow` measurement and can further process these results for * expectation values...

Qottmann