Josh Izaac

Tests are currently failing with ```python module 'qsharp' has no attribute 'clients' ``` 🤔

Update: more tests are now passing. The failing tests seem to be a combination of: ``` self.measure += self._observable_map[e.name].format(wires=device_wires.tolist()) E ValueError: Single '}' encountered in format string ``` ``` /github/home/.local/lib/python3.7/site-packages/pennylane/_device.py:290:...

Hey @cvjjm! This is something we are actively looking into at the moment :) Out of curiosity, are you looking explicitly for cuTensor compatibaility, or a more general GPU-compatible tensor...

Thank you!

Hey @JustinS6626, are you installing pennylane-qulacs into the same Python environment as the run that already had Qulacs GPU installed?

Thanks for the request @hrushikesh890! This is definitely something we would like to support in PL-Qulacs; we have recently added [various noise channels to PennyLane](https://pennylane.readthedocs.io/en/stable/introduction/operations.html#noisy-channels), so it should be relatively...

@hrushikesh890 yes for sure 🙂 I'm not too familiar with Qulacs, but it should be sufficient to: * Update the operation map in the plugin here: https://github.com/PennyLaneAI/pennylane-qulacs/blob/a70b880cedea39d4837266753a8aa5794a719887/pennylane_qulacs/qulacs_device.py#L79 * Adding tests...

It hasn't been added no. I would argue that we should leave this one open, as: * It will significantly improve performance of the plugin * By having it open...

Note that this is something that we discussed with Romain and Mikhail last quarter during the discovery --- that is, to allow developers and user to easily write transforms when...

> I don't think this is accurate for all transforms. The quantum and classical instructions live in the same scope, but you are free to traverse only operations from the...