[sc-63358] How to use Qiskit 1.0 with PennyLane

[isaacdevlugt]

Title: How to use Qiskit 1.0 with PL

Shortcut: https://app.shortcut.com/xanaduai/story/63358/how-to-how-to-use-qiskit-1-0-with-pennylane

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[isaacdevlugt]

Nice work @isaacdevlugt! Just a general comment but I'd just like to highlight something that is distinctly neat about using PL over using Qiskit: You don't need to swap between Estimator and Sampler in order to get what you want.

E.g. in Qiskit if you had some circuit and you wanted both the expectation value and the counts (admittedly, this is a bit of a contrived example), you would need to initialize Estimator and Sampler, and then write a lot of repeated, syntactically complicated code (e.g. expval = estimator.run()[0].data.evs anyone?) to do so. In Pennylane? Easy as return qml.expval(obs), qml.counts(obs). Syntactic sugar like this is always nice IMO.

Okay this is interesting! I tried to get this to work, and you can actually extract more than just counts from Sampler:

from qiskit.primitives import StatevectorSampler

sampler = StatevectorSampler()

job_sampler = sampler.run([qc], shots=1024)
result_sampler = job_sampler.result()[0].data.meas.expectation_values(operators) # or call get_counts()

print(result_sampler)

[0.984375   0.96484375 0.96289062]

[austingmhuang]

Okay this is interesting! I tried to get this to work, and you can actually extract more than just counts from Sampler:

from qiskit.primitives import StatevectorSampler

sampler = StatevectorSampler()

job_sampler = sampler.run([qc], shots=1024)
result_sampler = job_sampler.result()[0].data.meas.expectation_values(operators) # or call get_counts()

print(result_sampler)

[0.984375   0.96484375 0.96289062]

Previously you were working with SamplerV1, which didn't have this functionality. SamplerV2 has this functionality though so that's why you're seeing a difference.

[isaacdevlugt]

We're nearly ready to :shipit:, just need to figure out that pesky figure alignment 🤔

[ikurecic]

Another question I have is about emoji in section titles. I don't recall ever using this approach in PennyLane Demos. Am I missing something, @isaacdevlugt ? Also, removing them might help with some of the rendering issues for the time being.