Quantum computing is a fascinating research area that merges different disciplines such as computer science, physics, and engineering. Thanks to concepts of superposition and entanglement, quantum computing shows an intrinsic parallelism that represents the crucial key to enable quantum devices to perform more efficiently than their classical counterparts.
Quantum computers will be able to yield performance never seen before in several application domains, and the area of artificial intelligence may be the one most affected by this revolution. Indeed, the intrinsic parallelism provided by quantum computers could support the design of efficient algorithms for artificial intelligence such as, for example, the training algorithms of machine learning models, and bio-inspired optimization algorithms. Moreover, on other point of view, artificial intelligence techniques could be useful to quantum computing to address some problems such as, for example, the not so high reliability of quantum outcomes due to the negative effect of quantum decoherence.
The special session will focus on the current research trends in the integration between quantum computing and computational intelligence techniques.
Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the rest of contributed papers. As a result, all accepted papers will be included in the proceedings of FUZZ-IEEE 2022.
To submit your paper please see WCCI 2022 submission page
Prof. Giovanni Acampora, University of Naples Federico II, firstname.lastname@example.org
Dr. Autilia Vitiello, University of Naples Federico II, email@example.com
The QUASAR Lab is part of the Department of Physics "Ettore Pancini" of University of Naples Federico II,
where it is committed to perform research activities in theory and applications of
Computational Intelligence, Quantum Machine Intelligence and Cognitive Robotics.