We can say Artificial Intelligence (AI) has two aims: the first one, more general, is to understand the features and dynamics of intelligence (also by analyzing the human and animal behavior), the second one, more specific, is to develop and build intelligent machines. In both the cases it is fundamental to design and perform very fast and powerful calculation techniques, so that, today, computation plays a crucial role in the field of AI. Due to the recent developments of quantum computational techniques, it is generally believed that such field, as it is, could be able to give to AI the computational support needed to allow it to develop fast.

Nevertheless, at the moment, it is very difficult to realize and implement quantum parallel algorithms for a large part of AI scopes that are more useful than the corresponding classical counterparts. This is also due to the known difficulties related to quantum decoherence that affects quantum systems in a superposition state.

Another chance could be, in principle, to increase computational speed without necessarily considering quantum superposition of states. A possible way to overcome this limit could be to realize a hypothetical hypercomputational device able to perform a countable infinite number of computational steps within a finite time interval.

Advanced Technology Division of FoPRC has applied its own results about quantum hypercomputing to design a system a able to perform accelerated computation, overcoming the current computational limits and introducing a new frontier in the field of quantum computation, whose features will also be essential for the scopes of AI.