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LRE blogpost #631

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purva-thakre
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vercel bot commented Nov 26, 2024

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@purva-thakre purva-thakre marked this pull request as ready for review November 26, 2024 16:14
@purva-thakre purva-thakre marked this pull request as draft November 26, 2024 16:14
@nathanshammah
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@purva-thakre what is the update here?


```

Additional information is available in the [LRE User Guide](https://mitiq.readthedocs.io/en/stable/guide/lre.html) in Mitiq's documentation.
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@nathanshammah Very close to wrapping this up. I only need to link the LRE tutorial replicating some results from the paper on this line.

As you suggested, I also need to add one of the plots from the tutorial here.

@natestemen natestemen self-requested a review December 18, 2024 18:44
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Good draft Purva! I think a little more info/details about your process of adding the technique would be fitting since this is the UF blog, also given the blog posts title.

Comment on lines +11 to +12
Layerwise Richardson Extrapolation (LRE) [^1] is a multivariate extension of Zero Noise Extrapolation (ZNE)
where the noise of each layer is treated as an independent variable.
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Adding a little lead-in here would be good. This is the UF blog, so people might need a little easing in to QEM.

# combine the results
mitigated = sum(
exp_val * coeff
for exp_val, coeff in zip(noise_scaled_exp_values, coefficients)
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coefficients is undefined. Is it complicated to add here?

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@purva-thakre is this still something you want to work on?

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purva-thakre commented Feb 12, 2025

@natestemen Yes, I am working on finalizing 1 more plot from the LRE paper. I will add a tutorial in Mitiq and link that in this blogpost along with adding some plot images to this blogpost.

Sorry for the delay. I have been working on my postdoc applications.

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3 participants