GOAL
The main goal of the Task Force for Quantum Computational Intelligence is to promote the awareness, education and research activities within the IEEE CIS community and audiences – with a focus on young audiences – on how the rapid advancements of quantum technologies can hugely improve the capabilities of computational intelligent systems in the future. This will contribute to have a better integration of quantum computing with computational intelligence, to identify the potential new applications, and to establish a more coherent research activities among the two scientific communities of AI and quantum computing.
Our activities are aligned/joined with those of IEEE CIS Educational Portal Subcommittee, and IEEE CIS High School Outreach Subcommittee, in which this TF’s team are already involved. As the result, quantum computing can enrich the education materials and increase the joint activities’ outreach. We target organising special sessions, workshops and competitions in IEEE conferences (such as WCCI), organising local workshops and short courses, exchanging researchers and PhD student, developing collaborative research projects and joint publications.
FOCUS
- Quantum-fuzzy systems: integrating between quantum computing and fuzzy systems in order to handle the computational complexities of large/higher-order fuzzy systems
- Quantum, hybrid and quantum-inspired optimisation solutions for real-world problems
- Quantum annealing as a scalable technology in quantum optimisation for industrial applications, such as in power networks optimisation
- Quantum simulators using HPC hardware platforms such as CPU/GPU/FPGA.
- Using classical AI/ML methods, such as Genetic/Evolutionary Algorithms, for designing solutions and noise mitigation in real quantum computers
- Educational activities and creating learning resources for the young generation (high school, UG students) around introducing the quantum intelligence and its future potentials
