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LRE blogpost #631
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LRE blogpost #631
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@purva-thakre what is the update here? |
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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.
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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.
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?
@purva-thakre is this still something you want to work on? |
@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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