Background and Context Quantum computing (QC) is an emerging discipline with the potential to transform multiple fields. However, comprehensive syntheses of the existing educational research on QC in K-12 settings remain limited.Objective This early systematic review examined how QC is being studied in K-12 settings by education researchers.Method The study adopted the PRISMA protocol, leading to the inclusion of 24 articles following stringent screening.Findings Among other findings, the study identified six key reasons that have motivated education researchers to study QC in K-12 contexts, including its strategic national importance, interdisciplinary relevance, and the need for early exposure, among others. Researchers most frequently examined foundational quantum concepts such as superposition, entanglement, and measurement.Implications The study highlights the urgent need for more rigorous studies within the education discipline and the development of age-appropriate and user-friendly methodologies to enhance QC learning in K-12 education.
Background and Context Quantum computing (QC) is an emerging discipline with the potential to transform multiple fields. However, comprehensive syntheses of the existing educational research on QC in K-12 settings remain limited.Objective This early systematic review examined how QC is being studied in K-12 settings by education researchers.Method The study adopted the PRISMA protocol, leading to the inclusion of 24 articles following stringent screening.Findings Among other findings, the study identified six key reasons that have motivated education researchers to study QC in K-12 contexts, including its strategic national importance, interdisciplinary relevance, and the need for early exposure, among others. Researchers most frequently examined foundational quantum concepts such as superposition, entanglement, and measurement.Implications The study highlights the urgent need for more rigorous studies within the education discipline and the development of age-appropriate and user-friendly methodologies to enhance QC learning in K-12 education.
Quantum computing is one of the most promising emerging technologies, and quantum machine learning (QML), as one of its key branches, is attracting growing interest for intelligent data processing in education. This study conducted a systematic review of QML in the context of Education 5.0 using the PRISMA 2020 methodology. A total of 48 peer-reviewed articles from Springer, Scopus, IEEE Xplore, PubMed, MDPI, arXiv, and APS were analyzed. The results indicate that QML has significant potential to enhance personalized learning, optimize educational data processing, support curriculum innovation, and foster the development of quantum-related competencies. Representative QML algorithms, including Quantum Support Vector Machines, variational quantum circuits, and quantum neural networks, are identified as key technological enablers for future educational applications. However, significant challenges remain, such as limited access to quantum infrastructure, lack of specialized curricula, hardware constraints, and the need for interdisciplinary training. Overall, this study highlights the growing relevance of QML for adaptive learning, learning analytics, and intelligent educational systems, while emphasizing the need for further empirical validation and scalable implementation in real educational environments.
Quantum computing is an emerging field with growing implications across science and industry, making early educational exposure increasingly important. This paper examines how quantum computing concepts can be introduced into high-school STEM curricula within existing structures to enhance foundational learning in mathematics, computer science, and physics. We outline a modular integration strategy introducing key quantum ideas into standard courses, leveraging open-source educational resources to ensure global accessibility. Emphasis is placed on educational opportunity and equity: the approach is designed to be inclusive and to bridge current curricular gaps so that students worldwide can develop basic quantum literacy. Our analysis demonstrates that integrating quantum topics at the secondary level is feasible and can enrich STEM learning.
Quantum computing represents one of the most transformative technological shifts in computational science since the advent of classical computing architectures. This systematic literature review (SLR) synthesizes 212 peer-reviewed studies published between 2015 and 2024 to map the current landscape of quantum computing research as it intersects with software development practices, tools, frameworks, and methodologies. Following the PRISMA 2020 guidelines, we searched six major academic databases and identified relevant literature through a rigorous multi-stage screening process. Our analysis reveals five dominant research themes: quantum algorithm development and software frameworks, quantum machine learning integration, quantum cryptography and security applications, quantum software testing and verification, and hybrid quantum-classical software architectures. We further document major challenges including hardware decoherence, limited qubit availability, the absence of mature quantum DevOps pipelines, and a critical shortage of quantum-competent software engineers. The review concludes with a structured research agenda identifying six high-priority gaps where future scholarly work is most urgently needed. This paper provides a foundational reference for software engineers, researchers, and technology strategists seeking to understand and navigate the rapidly evolving quantum software ecosystem.
This systematic review examines the transformative impact of quantum computing (QC) on cybersecurity by analysing peer-reviewed literature published between 2019 and 2024. The study identifies the most pressing emerging threats, particularly the vulnerability of classical cryptographic systems to quantum algorithms such as Shor’s and Grover’s. It assesses the current state of post-quantum cryptography (PQC) solutions, including lattice-based schemes and hybrid frameworks integrating quantum key distribution (QKD). The originality of this work lies in its focus on synthesizing research across disciplines while critically evaluating implementation readiness, economic feasibility, and scalability particularly for internet of things (IoT) environments. Key contributions include the integration of real-world pilot case studies, a preferred reporting items for systematic reviews and meta-analyses (PRISMA) -based methodological framework, and a strategic outlook for interdisciplinary collaboration. This review provides significant insight into the evolving cybersecurity landscape and offers robust recommendations for policymakers, researchers, and practitioners aiming to navigate the quantum era with confidence.
This paper analyzes extant studies on the teaching of quantum computing within the K-12 education levels.This analysis was necessitated by the limited information on the incorporation of quantum computing in the K-12 curriculum, including the pedagogical approaches, resources utilized, and how quantum computing can be promoted in schools.A systematic literature review approach was adopted to provide answers to the research questions using four reputable academic databases.The databases include ACM, Scopus, IEEE, and Web of Science where articles published between 2012 and March 2023 were retrieved.Fifty articles were found eligible for review from the numerous papers the search yielded.The analysis of the papers indicates that the main teaching methods adopted by researchers were direct instruction, hands-on activity, collaborative learning, inquiry-based learning, participatory learning, game-based learning, project-based learning, and design-oriented learning.The result further showed that the key assessment methods adopted mostly to evaluate the teaching of quantum computing include self-report evaluation, process observation, and knowledge and acquisition questions.The findings were discussed in relation to their implication for promoting quantum computing education in schools.This study offers insight for educators, computing and educational researchers, and education policymakers.
A revolutionary technology impacting the field of science, engineering, and education is Quantum computing. Quantum Computing in education is a discipline regarding its application to teaching and learning. The focus of the paper is a bibliometric analysis of academic literature on quantum computing in education to identify the intellectual structure thereof, patterns of growth, and future research perspectives. It is based on the Scopus database as a primary source of data. It covers 104 relevant publications published during 2011-2025. They were sorted and analyzed with the help of Bibliometrix package and its Biblioshiny interface in R to show the annual trends of publications. The findings indicate that quantum computing education is becoming of academic interest, and the number of research materials is growing rapidly since 2020. The highly interdisciplinary nature, with engineering, computer science, physics, and social sciences, respectively, playing the dominant role. There is a transition towards more basic quantum concepts into applied educational concepts, such as curriculum development, engineering education, teaching practices, and student learning. The paper has an important implication for researchers, teachers, and policy formulators. It also outlines the direction of future research that can be used to advance the sustainable development of quantum computing education.