This poster explores strategies for supporting quantum computing education in academic libraries and invites collaborative discussion on building sustainable support models. As quantum computing emerges as a transformative technology with potential to solve complex research questions across disciplines, institutions of higher education must develop effective and scalable support frameworks. Successful integration of quantum computing education and support may position institutions at the forefront of breakthrough computational research and confer benefits such as strengthening the institutional ability to attract top faculty and students, boost workforce development, and deliver a competitive advantage for funding opportunities. We present our initial framework for quantum computing support developed at the University Libraries, University of Alabama. Our instructional model employs backward design principles, emphasizing hands-on engagement with open-source quantum development tools and focusing on transferable computational thinking skills that extend beyond specific tools. Our approach centers on workshops that prioritize achievable learning outcomes tailored to diverse student backgrounds, incorporate active learning strategies, and emphasize real-world applications to build quantum literacy across disciplines. Both our successes and ongoing challenges are shared to inform broader discussions. More broadly, we invite engagement with our framework and discussion across four critical dimensions of emerging technology support including pedagogical approach, assessment strategies, technology platforms and infrastructure, and collaborative support models. Pedagogically, we seek to explore which instructional methods most effectively build quantum computing literacy for students with diverse academic backgrounds as well as strategies to strike the balance between theoretical foundations and hands-on practice. With assessment, we seek meaningful assessment approaches that can address varied student backgrounds and account for steep learning curves accompanying emerging technologies. For technology, we endeavor to discover which platforms will work best within higher education and ensure access and reliability for students and educators on a broad scale. And finally, we seek to examine how academic libraries and other units collaborate to build sustainable, coordinated support infrastructure. As quantum computing and other emerging technologies reshape higher education, academic libraries may be uniquely positioned to lead support for quantum computing by democratizing access to computational resources and bridging gaps between research, instruction, and student success. To that end, we invite discussion on how academic libraries can help to build sustainable, adaptable, and collaborative models to support quantum computing. We seek experiences, challenges, and strategies to inform best practices while aligning with library and other campus computing efforts and meeting the evolving needs of students.
This poster explores strategies for supporting quantum computing education in academic libraries and invites collaborative discussion on building sustainable support models. As quantum computing emerges as a transformative technology with potential to solve complex research questions across disciplines, institutions of higher education must develop effective and scalable support frameworks. Successful integration of quantum computing education and support may position institutions at the forefront of breakthrough computational research and confer benefits such as strengthening the institutional ability to attract top faculty and students, boost workforce development, and deliver a competitive advantage for funding opportunities. We present our initial framework for quantum computing support developed at the University Libraries, University of Alabama. Our instructional model employs backward design principles, emphasizing hands-on engagement with open-source quantum development tools and focusing on transferable computational thinking skills that extend beyond specific tools. Our approach centers on workshops that prioritize achievable learning outcomes tailored to diverse student backgrounds, incorporate active learning strategies, and emphasize real-world applications to build quantum literacy across disciplines. Both our successes and ongoing challenges are shared to inform broader discussions. More broadly, we invite engagement with our framework and discussion across four critical dimensions of emerging technology support including pedagogical approach, assessment strategies, technology platforms and infrastructure, and collaborative support models. Pedagogically, we seek to explore which instructional methods most effectively build quantum computing literacy for students with diverse academic backgrounds as well as strategies to strike the balance between theoretical foundations and hands-on practice. With assessment, we seek meaningful assessment approaches that can address varied student backgrounds and account for steep learning curves accompanying emerging technologies. For technology, we endeavor to discover which platforms will work best within higher education and ensure access and reliability for students and educators on a broad scale. And finally, we seek to examine how academic libraries and other units collaborate to build sustainable, coordinated support infrastructure. As quantum computing and other emerging technologies reshape higher education, academic libraries may be uniquely positioned to lead support for quantum computing by democratizing access to computational resources and bridging gaps between research, instruction, and student success. To that end, we invite discussion on how academic libraries can help to build sustainable, adaptable, and collaborative models to support quantum computing. We seek experiences, challenges, and strategies to inform best practices while aligning with library and other campus computing efforts and meeting the evolving needs of students.
This paper explores the integration of quantum computing (QC) into STEM curriculum education at higher education institutions, focusing on the dual objectives of workforce training and advancing cutting-edge research into curriculum development and hands-on labs. As the field of quantum computing rapidly evolves, there is a pressing need to equip minority students from diverse backgrounds with the skills necessary to participate in this transformative industry.The paper explores the process of developing a robust QC curriculum that combines theoretical foundations with practical, hands-on learning opportunities in personalized learning environments. It highlights initiatives aimed at equipping students with the skills necessary for conducting groundbreaking research in quantum computing. Through partnerships with academic institutions and industry collaboration, these programs aim to provide students with real-world exposure and mentorship. The findings emphasize the importance of inclusive education in the preparation of a diverse workforce capable of contributing to the future of quantum computing, innovation and application.
This study investigates the landscape of quantum computing education through the lens of higher education faculty at Minority Serving Institutions. By examining data from participants in a specialized quantum computing workshop, we identify key factors influencing both educator proficiency and pedagogical effectiveness. The study uses principal component analysis, exploratory factor analysis, and correlation analysis to reveal latent patterns and interconnections in quantum education practices. The findings of the principal component analysis highlight dimensions such as technical knowledge, instructional support, and hands-on experiential learning, while the exploratory factor analysis uncovers latent constructs related to mentorship, inclusive pedagogy, and technical mastery. Correlation analysis shows strong relationships between faculty confidence and their grasp of core quantum concepts, such as quantum gates, multi-qubit states, and quantum algorithms, emphasizing the cascading effect of mastering foundational topics. The workshop significantly enhanced participants’ understanding of quantum frameworks and practical applications. Gender-based analysis revealed that male participants reported higher confidence boosts, suggesting the need for targeted support. This research also underscored the importance of industry collaborations and research integration in quantum curricula. These findings provide actionable insights for curriculum design and professional development, emphasizing the need to balance technical competencies, hands-on engagement, and sustained mentorship to foster a diverse quantum workforce.
The advent of the post-quantum era introduces significant challenges and opportunities, particularly a pressing workforce gap in quantum computing education and skills.In response, public and private stakeholders are actively enhancing their efforts to advance quantum education.For instance, IBM's recent pledge to upskill 30 million individuals by 2030 specifically emphasizes quantum computing and cryptography.Similarly, the White House Office of Science and Technology Policy, and the U.S. National Science Foundation, have engaged in quantum education discussions at a summit that brought together leading educators and professionals in Quantum Information Science and Technology (QIST) to strategize on future workforce development.Additionally, NIST is gearing up to unveil its post-quantum cryptography standard in the near future.Despite these efforts, collaboration across sectors in aligning quantum education approaches needs more focus.As experienced educators and researchers, our observation is that while cybersecurity education has witnessed extensive collaboration across government, industry, and academia, quantum education in some sectors is not receiving the attention as highlighted by government initiatives.We propose a systematic approach, leveraging established frameworks like NICE, to integrate quantum computing education into mainstream curricula to ensure that industry will not have the large gap of filling jobs as the cybersecurity sector is currently experiencing.We present an analysis of two courses introduced in our CS department: "Introduction to Quantum Computing," and "Quantum Computing II."We outline the course modules specifically crafted to heighten students' quantum awareness and curiosity as they will be confronted with opportunities and issues related to quantum computing in their software engineering careers.Our student survey results, utilizing a Likert scale ranking, indicate a significant increase in students' interest and curiosity in quantum concepts, as well as their eagerness to further explore quantum computing.These results that we are meeting our educational objectives.
Background: Knowledge of quantum computing is arguably inaccessible to many, with knowledge of the complex mathematics involving a particular barrier to entry, creating difficulty in terms of teaching and inclusive learning for those without a high level of mathematics. Meanwhile, it is increasingly important that the knowledge of quantum technologies is accessible to those who work with real-world applications and is taught to the younger generation.Purpose: Resulting from collaborative dialogue between physicists, computer scientists, educationalists, and industrial end users, we propose the concept of quantum literacy as one means of addressing the need for transdisciplinary research in response to the complex problems that we see at the heart of issues around global sustainability. In this way, quantum literacy can contribute to UN Sustainable Development Goal 4, Quality Education.Methods: We introduce a specific puzzle visualization learning tool through which to achieve the pedagogic ends we set out with respect to quantum literacy. Visualization through puzzles can enable non-specialists to develop an intuitive, but still rigorous, understanding of universal quantum computation and provide a facility for non-specialists to discover increasingly complex and new quantum algorithms. Using the Hong–Ou–Mandel optical effect from quantum mechanics, we demonstrate how visual methods such as those made possible through the puzzle visualization tool can be very useful for understanding underlying complex processes in quantum physics and beyond and therefore support the aims of quantum literacy.Conclusion: We argue that quantum literacy, as defined here, addresses the challenges of learning within a highly bounded discipline and of access to the kind of powerful knowledge that should be more accessible to a wide group of learners. We therefore argue for the importance of addressing pedagogic issues when powerful knowledge consists of dense concepts, as well as complex and hierarchical relations between concepts, in addition to presenting a strong barrier to entry in the form of mathematics.
Quantum information science and engineering (QISE) is advancing rapidly, creating an urgent demand for a quantum-literate, technically proficient workforce. Despite this need, quantum education initiatives remain fragmented across regions, educational levels, and instructional approaches, which constrains their scalability and overall impact. This paper offers a structured analysis of the current quantum education ecosystem by synthesizing global initiatives, pedagogical strategies, and emerging trends. Quantum education is examined through a dual framework that considers both learner progression and instructional methodology, emphasizing the evolution of educational approaches from conceptual exposure to formal reasoning and practical application. Analysis of data from international programs and academic literature reveals key challenges, including inequitable access, absence of standardized curricula, limited empirical evaluation, and discontinuities between educational stages. Quantum education is more accurately conceptualized as a non-linear ecosystem rather than a traditional pipeline, characterized by multiple entry points, feedback mechanisms, and critical transition gaps. Based on this perspective, directions are proposed for developing more coherent, inclusive, and scalable educational frameworks that align with workforce requirements and technological progress. This work presents a unified perspective on the quantum education landscape and outlines actionable strategies to enhance global quantum literacy and workforce preparedness.
Quantum computing is emerging as a key enabler of digital transformation in data science and STEM education. This study investigates how quantum computing can be meaningfully integrated into higher education by combining a dual approach: a structured assessment of the specialized literature and a practical evaluation of educational tools. First, a science mapping study based on 281 peer-reviewed publications indexed in Scopus (2015–2024) identifies growth trends, thematic clusters, and international collaboration networks at the intersection of quantum computing, data science, and education. Second, a comparative analysis of widely used educational platforms—such as Qiskit, Quantum Inspire, QuTiP, and Amazon Braket—is conducted using pedagogical criteria including accessibility, usability, and curriculum integration. The results highlight a growing convergence between quantum technologies, artificial intelligence, and data-driven learning. A strategic framework and roadmap are proposed to support the gradual and scalable adoption of quantum literacy in university-level STEM programs.