Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

We introduce Entropy/IP: a system that discovers Internet address structure based on analyses of a subset of IPv6 addresses known to be active, i.e., training data, gleaned by readily available passive and active means. The system is completely automated and employs a combination of information-theoretic and machine learning techniques to probabilistically model IPv6 addresses.

Due to their non-invasive nature analytical techniques based on reflectance spectroscopy are almost ideal for the analysis of such sensitive and valuable objects as works of art. Point reflection spectroscopy can be extended in the direction of the analysis performed on the entire surface to perform hyperspectral imaging. Large amounts of data, obtained by this method, in conjunction with statistical analysis become a source of new information about studied objects and open up new possibilities in the field of non-destructive testing of historic buildings.

Which algorithms could you run on a given quantum device? I give an introduction into the concept of "reachable operations" in controlled quantum systems. In practice, quantum devices will be noisy, so it is important to characterise the reachable set of open quantum systems. This, however, brings many mathematical challenges, which I will briefly discuss. I then provide a case study of a qubit in a bath of spin 1/2 particles, for which the reachability question can be solved analytically, and provide numerical results using an open-source software library developed by our group.