Kevin J. Sung

FYI you can see [here](https://pradyunsg.me/furo/customisation/footer/#using-embedded-svgs) for what Furo itself does. It gives a GitHub icon on the bottom right, perhaps not as visible as you want.

I think the proper way to go about this is to rewrite the codebase assuming the input is a BackendV2. If the input is not a BackendV2, first convert it...

I made an attempt at this and started to run into some difficulties. It appears that mapomatic makes some assumptions about the backend that are not satisfied by BackendV2. In...

I thought I could test this with the BackendV2 fake backends but then discovered they're not supported yet, see #53 . Note that this code seems to already work for...

Now that the latest release of Qiskit Nature supports parameters, we can go ahead and fix this issue.

Thanks for the pull request! I have updated the [contributing guide](https://github.com/qiskit-research/qiskit-research/blob/main/CONTRIBUTING.md#submitting-a-new-research-experiment) to list our current criteria for considering submissions. Can you check that your submission fulfills the criteria?

Hi @orielkiss I think it makes to include this as a utility. It needs to be refactored though: - `tutorial_DSV.ipynb` and associated files should be moved to `docs/dual_state_verification/`. - `dual_state_verification.py`...

I agree that `shots = A / precision**2` where A scales with the Hamiltonian norm is not perfect, but I think it's a better representation of a "best guess attempt"...

Oh I see what you mean. I've changed the title of this issue because it actually refers to BackendEstimatorV2 specifically.

I opened https://github.com/Qiskit/qiskit-ibm-runtime/issues/1684 for the implementation in Runtime. It appears that Runtime uses their own implementation of BackendEstimatorV2.