How to represent uncertainty via qudits: Probability distributions, regular, intuitionistic and picture fuzzy sets, F-transforms, etc.

While modern computers are fast, there still many important practical situations in which we need even faster computations. It turns out that, due to the fact that speed of all communications is limited by light, only way make drastically decrease size computer’s components. When their sizes comparable with micro-sizes individual molecules, it becomes necessary take into account specific physics micro-world – known as quantum physics. Traditional approach designing i.e., effect was based on using analogies bits (2-state systems). However, has recently been shown use multi-state systems called qudits can more efficient. processing data, practice, data always comes uncertainty. In this paper, analyze how represent different types uncertainty qudits.