3. Autonomic computing
4.1. The four principles of autonomic computing; 3.2. MAPE-K; 3.3. NAM, NAM4J, Distributed Remodeling Framework
4. Simulation techniques
4.1. General concepts about simulation; 4.2. Discrete event simulation
5. Quantum computing
5.1. History of quantum computing; 5.2. Linear algebra; 5.3. The postulates of Quantum Mechanics; 5.4. Quantum bit; 5.5. Quantum circuits; 5.6. Quantum algorithms; 5.7. Quantum security protocols
M. Amoretti, lecture notes in english.
C. Ghezzi, D. Mandrioli, "Informatica Teorica", Città Studi, 1989.
D. E. Culler, J. Pal Singh, “Parallel Computer Architecture: A Hardware/Software Approach”, Morgan Kaufman, 1999.
B.P. Zeighler, H. Praehofer, T.G. Kim, "Theory of Modeling and Simulation", Second Edition, Academic Press, 2000.
M. Nielsen, I. Chuang, “Quantum Computation and Quantum Information”, Cambridge University Press, 2011.
Lectures are given by the teacher, which illustrates the topics with the support of slides, or by writing on the blackboard. Some hours are devoted to parallel programming practice. Lectures about simulation techniques are completed by a tutorial on the DEUS simulation environment.
Assessment methods and criteria
There will not be exams during the course.
There will be a written exam (3 hours), with 6-7 open questions related to theoretical part of the course.
Every student will have to work on a small project, requiring: the use/development of a software or the study of a quantum computing paper; the writing of a report; a final presentation (supported by slides).