Handling practical data as a single distribution presents inherent challenges and is deemed inappropriate. To overcome this limitation, a promising solution emerges: modeling the probability ...

State preparation is a necessary component of many quantum algorithms. In this work, we combine a method for efficiently representing smooth differentiable probability distributions using matrix ...

The normal distribution (also known as the Gaussian distribution) is arguably the most important distribution in Statistics. It is often used to represent continuous random variables occurring in ...