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continuous variables tutorial ipynb - #17

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continuous variables tutorial ipynb#17
pietrotambu wants to merge 1 commit into
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@pietrotambu

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Check out this pull request on  ReviewNB

See visual diffs & provide feedback on Jupyter Notebooks.


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@andyfromko

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review:
I printed the same ladder graph nice work
nice plot very visable I like the wigner function plot very pretty
code nice very simple and computeristic I guess(looks like)
comparing error nice work

a little review by claude at the end:
Gaussian states are efficiently simulable together with Gaussian operations and measurements — the state alone isn't the criterion. Squeezing is actually a key resource in CV QC (cluster states) and in LIGO. Maybe rephrase so readers don't come away thinking 𝑊≥0, W≥0 means classical.

@a-a-a-a-a-max

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Very good explanations and a good amount of math.

It could be cool to show the marginal distributions for x and p for a specific one in the last graph. Otherwise, all the graphs are good.

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3 participants