Korbinian Kottmann

[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...

[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...

Differentiating through `counts`

2

Currently, there is a comment on the counts measurement process about differentiability.  There are actually a lot of scenarios where it is desirable to have a loss function defined...

Ideally, when a user wants to return counts but forgets to set counts, the error message would point to that. Currently the error message is somewhat cryptic: ```python dev =...

[BUG] Hamiltonian with `grouping_type="qwc"` breaks noisy device

2

### Expected behavior qfunc to execute as expected (i.e. as without setting `grouping_type="qwc"` ### Actual behavior Adding grouping breaks in the noisy simulator. Seems to be queuing issue. ### Additional...

Allow for 2 single qubit rotations in `qml.BasicEntanglerLayers()`

6

### Feature details It would be great to have `qml.BasicEntanglerLayers` accept not one but two (or more) rotation gates, since only then the rotation is _general_. The API could be...

Parameter broadcasting of initial states via `AmplitudeEmbedding`

2

Not sure if this is a bug or just not implemented yet. I want to use parameter broadcasting with different initial states via `qml.AmplitudeEmbedding`. Here is an example without parameter...

Slow performance when compiling (tf and jax-jit) gradients through `mitigate_with_zne`

2

I noticed that `jax-jit` and `tf` compilation is very slow when computing gradients through the new `mitigate_with_zne` transform introduced in https://github.com/PennyLaneAI/pennylane/pull/2757. For an example with `n_wires=6` it already takes around...

[WIP] Add stochasticity to noise circuits

1

**Context:** For most error mitigation schemes, we need more elaborate ways to model noisy circuits. One main problem that I identify is the rigidness in which noise channels are applied....

Differentiable error mitigation

15

A simple notebook showing off the new differentiable error mitigation functions with ZNE https://github.com/PennyLaneAI/pennylane/pull/2757 as well as trying to initiate people also to think of variationally optimizing the mitigation scheme...