Dear All,
In the paper, we unveil a simple yet powerful approach for generating Gaussian Random Variables using non-parametric quantum circuits. Our method, encapsulated in a Python library called QonFusion, bypasses the computational overhead associated with traditional techniques and integrates seamlessly into both PyTorch and PennyLane environments. The library and its statistical validations are available here:
Nice! Great job @Solomon
How about adding the demo to our “community demos” page? 
Here you can find more info about how to do it.
Sure, I would love to. Next week I have more time for that.
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