Quantum computing: applications and simulation


Although  the discovery of Shor and Grover algorithms in the early days of quantum computation originated a lot of enthusiasm,  progress  has been slower than expected, due both to the difficulties in implementing effective quantum computers, and the lack of suitable theoretical instruments to systematically design new quantum algorithms. For the last few years, however, all this is about to change, and a myriad of (often unsuspected) applications to old and new domains is emerging.

Although  the discovery of Shor and Grover algorithms in the early days of quantum computation originated a lot of enthusiasm,  progress  has been slower than expected, due both to the difficulties in implementing effective quantum computers, and the lack of suitable theoretical instruments to systematically design new quantum algorithms. For the last few years, however, all this is about to change, and a myriad of (often unsuspected) applications to old and new domains is emerging.

This research line is devoted to the development of innovative applications of quantum computation to the following domains, corresponding to the research areas for RL2:

– Computational algebra and information security
– Machine learning
– Artificial intelligence and stochastic optimization
– Computer graphics
– Quantum simulation
– Classical simulation of quantum systems