Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

The automatic analysis of cytological preparations is very challenging due to complexity of cellular structures. Classical segmentation methods such as thresholding, active contours or watershed are effective only for simple cases where nuclei are well isolated from each other. Unfortunately, in case of cytological material this requirement is very rarely fulfilled. To tackle this problem, I propose the method which transforms cytological image into simpler form where nuclei are approximated by circular or elliptical-shaped objects.

The quantum entanglement is considered as one of the most important notions of quantum computing. The entanglement is a feature of quantum systems and it is used as a basis for many quantum algorithms and protocols. In this presentation we analyze the level of entanglement for the quantum switch, during its work. The level of entanglement during the correct operating may be compared with the situation when a noise is present in the analyzed system. The noise changes the level of quantum entanglement and we utilize this observation to evaluate if the switch works properly.