Nathan Killoran

Yep, only blocker I foresee here is (as usual), the TF backend, which has to implement all operations using tf ops

I was thinking more that actually implementing the sampling would be the harder part (since we can't just call hafnian lib)

Hi @MattRos90 Thanks for your feedback. To help us distill what you're looking for, I have a couple questions: Are you looking to carry out threshold measurements specifically with the...

Copied from [here](https://github.com/PennyLaneAI/pennylane/issues/842#issuecomment-707932150): > Thanks for this explanation. I was actually curious about the release of memory and reallocation at each expectation calculation and looked into the code: from my...

Thanks for your thoughts @MichelNowak1! As you've suggested, one possible solution would be to cache calls to `dm` so that the density matrices would not need to be recomputed if...

seems like something that should be packaged as a method of the `Results` class. Might make sense to make both `results.samples` and `results.counts` lazy-loading?

Hi @felipeoyarce, thanks for your interest. This is quite an old issue, but I think it's still applicable, so if you want to take a chance at it, go for...

This is definitely not a new issue. I've observed it for months now, but just got fed up enough to report it as issue now

Thanks @zzzeid. It's enough to know which test was causing it and flag it for refactoring. What likely happened is someone designed a test which would suit a particular backend,...

It might be a simpler solution: just call `setup_backend` within the loop (though I'd like to remove looping wherever possible)