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Dataset for Benchmarking Variational Fast Forward Pipielines based on Hydrogen Molecule Simulation #916
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There seem to be lint and mypy problems I missed to address. I'll fix and re-commit. Meanwhile, any thoughts on making unittests faster and making the transpilation step qiskit 2.0.0 friendly would be very helpful! |
The CI issues have been fixed so I updated the branch (via the update button that was here) so any issues now would be just down to this PR - unless it has a random failure for which there is an issue #903 around that, |
The failure in MacOS 3.12 in this |
Just merged the latest updates in this branch |
I'm not able to fix that docstring :( |
If I look at the Checks log here the style check is also complaining i.e the black check that says it would reformat the files,as below. This is done from the makefile using
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I cloned your repo locally and running make html
in the root of the project on this updated branch it gave me the same errors. Basically I started at the line it failed and commented things to remove the text afterwards. It worked I added more and more until I saw the failure. What seemed to cause things for me was that text I have deleted below, which is basically the list of parameters - that, I think, was getting wrapped up into the Parameters keyword and causing the failure. At least for me removing it works. Then the only thing I saw in the resultant output was a formatting issue around those inline math statements that need adjusting also as further below.
I committed the changes - lets see how it goes here in CI. Locally it made the html fine so it should here too! If you look in the log - I think the tutorial ones - it builds the html and uploads where there is a link for the uploaded zipped result that you can download and unpack to see how it all looks. |
Pull Request Test Coverage Report for Build 15622600013Details
💛 - Coveralls |
Summary
Benchmarking dataset for variational fast-forwarding (VFF) pipelines using the time evolution of quantum states from hydrogen-based molecules. The dataset is structured to support learning-based extrapolation of quantum dynamics: short-term, potentially noisy training states are provided alongside long-term, exact reference evolutions.
The data generator gives us the following:
⎢ѱHK〉
: The Hartree Fock State of the systemX_train
:[Δt, 2Δtm …NΔt]
which are uniform timestamps at which short-term evolutions are recordedY_train
:U(Δt)⎢ѱHK〉...U(NΔt)⎢ѱHK〉
which are the short-term evolutions but with noiseX_test
:[PΔt…QΔt]
which are the long-term timestampsY_test
:U(PΔt)⎢ѱHK〉…U(QΔt)⎢ѱHK〉
which are the long-term noiseless evolutionsDetails and comments
Literature that uses a similar training procedure for VFFs: https://quantum-journal.org/papers/q-2024-03-13-1278/pdf/