i will accept objections in the form of "language is nongaussian and the output function is linear into an exponential, which forces gaussianity on the function," but not "statistics cannot tell you anything in language."

why are you making war on quantitative methods. you are a quantitative field.

Hubert presented our work on Wigner function reconstruction of non-Gaussian superposition states emitted from a quantum dot 🌀 A key step in characterizing solid-state quantum light for photonic quantum technologies!
#QuantuMatter2025 #QuantumOptics #QuantumDot #WignerFunction #NonGaussian #C2N

Need help w data plotting.
Two data curves, 16 timepoints each - plotted as lines through the average at each timepoint, with error bars.
In actual fact each timepoint is a violin plot of 20k cells.
What tools exist to leverage the nongaussian nature of the data and draw smth like ribbon plots?

nongaussian tails in the distribution of qubit energy relaxation time $T_1$ that degrade system performance. Spectral diffusion of defects over time leads to fluctuations in $T_1$, posing a challenge for calibration. In this work, we measure the [2/5 of https://arxiv.org/abs/2506.00193v1]

A Hybrid Measurement Scheme for Generating nonGaussian Spin States
https://arxiv.org/pdf/2502.19527
Andrew Kolmer Forbes, Ivan H. Deutsch.

the review process has stimulated us to generalize our result not only for SU(N) fermions – for which we have already worked out a follow up work, defying the assumption that Mott localization is always accompanied by strong nongaussian correlations (tinyurl.com/Zavatti25) –

For a certain synthetic problem I've designed it seems to be better than PCA at extracting "nonlinear/nongaussian" signal but turns out umap is also able to do this to a certain extent so I wonder if it has any comparative advantage to umap then.

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