Special Issue on Education in Quantum Computing and Related Technologies: State of the Art and Development Perspectives in Ibero-America. IEEE-RITA
The advancement of quantum computing presents unprecedented educational challenges for academic systems, particularly in the fields of engineering, computer science, electronics, and telecommunications. Establishing a solid and sustainable educational ecosystem in quantum education, capable of addressing emerging technological and societal demands, is a strategic priority for the Ibero-American region.
This special issue of IEEE-RITA, in synergy with the goals of the Ibero-American Network for the Advancement of Quantum Software Engineering (RIPAISC), aims to gather academic contributions that analyze, design, or evaluate educational strategies, teaching resources, pedagogical methodologies, and technological infrastructures oriented toward the teaching and learning of quantum computing and related technologies.
Recognizing the need to prepare future generations to actively participate in the development of this disruptive technology, contributions proposing inclusive, collaborative, and open approaches will be especially valued. Relevant topics include (but are not limited to) teaching and learning in quantum computing and associated technologies such as quantum simulation, communication, or sensing:
Topics:
- Development of educational resources and interactive environments: simulators, virtual labs, games, platforms, and other technologies aimed at teaching quantum content.
- Active and student-centered teaching methodologies applied to quantum computing education.
- Teacher training and competence development for teaching quantum-related content at various educational levels.
- Integration of quantum computing topics into technical and higher education programs.
- Assessment of learning and competencies related to quantum technologies, and their impact in real educational settings.
- Gender inclusion and diversity in educational initiatives related to quantum computing.
- Academia-industry partnerships to design educational pathways based on real use cases.
- Open education and citizen science as strategies to broaden access to training in this field.
- Critical and systematic analysis of the use of artificial intelligence tools in quantum computing education, including their pedagogical potential, limitations, and risks.
- Educational use of paradigmatic examples, use cases, or potential applications of quantum computing to contextualize and motivate learning.
- Design and application of quantum software engineering tools (such as development, testing, or visualization environments) for educational purposes.
- Teaching of different quantum development models (circuits, variational algorithms, adiabatic computing, among others) and their incorporation into training proposals.
This special issue will contribute to building a shared and plural vision of the challenges and opportunities of quantum education in Ibero-America, consolidating an academic space that promotes regional cooperation and the generation of useful knowledge for the sustainable implementation of this technology.