Quantum computing is a rapidly evolving field with transformative implications across domains such as cryptography, optimisation, materials science, drug discovery, and artificial intelligence. However, for quantum computing to reach its full potential, it must be accessible to researchers, engineers, and students from a wide variety of disciplinary backgrounds-many of whom may not have formal training in quantum mechanics or advanced physics. Analogies are powerful tools for bridging these gaps in understanding, particularly when introducing complex and unintuitive concepts like superposition, entanglement, or quantum interference. Yet analogies are often used spontaneously and without critical analysis, which can lead to misconceptions or inconsistent interpretations across fields. This tutorial introduces a structured approach-structure mapping-for evaluating, refining, and co-creating analogies for quantum education. Through collaborative activities, participants will learn to identify where analogies succeed or fail, explore analogies from other disciplines, and gain tools for making quantum ideas more accessible to non-experts. This is particularly valuable for postgraduate educators, curriculum designers, outreach specialists, and researchers working in interdisciplinary quantum projects. By the end of the tutorial, participants will have gained practical skills in analogy evaluation, a toolkit for effective communication of quantum concepts, and a shared vocabulary to enhance interdisciplinary collaboration.
Quantum computing is a rapidly evolving field with transformative implications across domains such as cryptography, optimisation, materials science, drug discovery, and artificial intelligence. However, for quantum computing to reach its full potential, it must be accessible to researchers, engineers, and students from a wide variety of disciplinary backgrounds-many of whom may not have formal training in quantum mechanics or advanced physics. Analogies are powerful tools for bridging these gaps in understanding, particularly when introducing complex and unintuitive concepts like superposition, entanglement, or quantum interference. Yet analogies are often used spontaneously and without critical analysis, which can lead to misconceptions or inconsistent interpretations across fields. This tutorial introduces a structured approach-structure mapping-for evaluating, refining, and co-creating analogies for quantum education. Through collaborative activities, participants will learn to identify where analogies succeed or fail, explore analogies from other disciplines, and gain tools for making quantum ideas more accessible to non-experts. This is particularly valuable for postgraduate educators, curriculum designers, outreach specialists, and researchers working in interdisciplinary quantum projects. By the end of the tutorial, participants will have gained practical skills in analogy evaluation, a toolkit for effective communication of quantum concepts, and a shared vocabulary to enhance interdisciplinary collaboration.
This chapter presents teachers and students with the fundamental concepts and principles of quantum computing in a fashion that is both for learners and educators. As quantum technologies are breaking into the lead roles in innovation, integrating quantum literacy into curriculum education is becoming increasingly essential. This chapter makes difficult concepts like qubits, superposition, entanglement, and quantum gates easy to understand and what makes classical and quantum computation distinct in easy-to-understand terms. It offers teachers effective methods for approaching quantum concepts through analogs, simulations, and hands-on devices like IBM’s Quantum Experience. For students, this chapter opens up inquiry by means of interactive and inquiry-based approaches, leading to increased understanding. Interdisciplinary education—physics, math, and computer science—is used as a starting point for the study of quantum mechanics and computing applications. It surveys current trends in quantum curriculum design and offers feasible case studies of effective quantum education initiatives in schools and universities. Problems of the absence of qualified teachers, lack of access to quantum materials, and learning inequalities are observed and accompanied by advice regarding scalable and inclusive methods of pedagogy.
Quantum computing presents a transformative potential for the world of computing. However, integrating this technology into the curriculum for computer science students who lack prior exposure to quantum mechanics and advanced mathematics remains a challenging task. This paper proposes a scaffolded learning approach aimed at equipping computer science students with essential quantum principles. By introducing foundational quantum concepts through relatable analogies and a layered learning approach based on classical computation, this approach seeks to bridge the gap between classical and quantum computing. This differs from previous approaches which build quantum computing fundamentals from the prerequisite of linear algebra and mathematics. The paper offers a considered set of intuitive analogies for foundation quantum concepts including entanglement, superposition, quantum data structures and quantum algorithms. These analogies coupled with a computing-based layered learning approach, lay the groundwork for a comprehensive teaching methodology tailored for undergraduate third level computer science students.
The rapid growth of quantum information science and technology (QIST) presents unique educational challenges as it brings together students and researchers from many disciplines. This work presents findings from in-depth interviews with leading quantum researchers who are also educators, whose perspectives provide guidance for developing a framework for interdisciplinary QIST teaching and builds on our earlier paper that focused on QIST courses and curricula. We discuss quantum educators’ reflections on three critical aspects of QIST education: (1) the development of a common interdisciplinary language, (2) determining appropriate levels of abstraction and physical detail for diverse student populations from various disciplines, and (3) why students should pursue courses, degrees, and careers in this rapidly evolving field. Our analysis reveals that the emergence of linguistic evolutions such as “qubits” and “measurement bases”, rather than a focus on measurement of physical observables and their corresponding Hermitian operators, has begun to create a unifying framework that transcends disciplinary boundaries. Nevertheless, educators face ongoing challenges in balancing the level of abstractness with physical details as well as mathematical rigor with conceptual accessibility, particularly when teaching foundational QIST courses to an interdisciplinary group of students. The experts emphasize that successful QIST education for an interdisciplinary student body not only requires a shift from traditional quantum mechanics pedagogy for physics majors, but careful consideration of students’ diverse prior conceptual and mathematical foundations overall. They encourage students to pursue QIST related courses, degrees, and careers, highlighting the unique historical opportunity to participate in creating transformative quantum technologies while developing transferable skills for an evolving technological landscape. These findings provide valuable guidance for developing a framework for interdisciplinary QIST teaching especially useful for foundational courses.
Quantum computing is increasingly discussed outside physics departments, yet its foundational ideas, superposition, entanglement, interference and decoherence, have no equivalent in everyday experience, which makes them resistant to plain-language explanation. This makes analogies one of the few practical tools available for teaching these ideas to non-expert audiences such as students, policymakers and the general public. It is not well understood, however, which analogies actually transfer the correct structure of the physics and which ones quietly introduce wrong intuitions. This paper designs and evaluates three analogies, a chess-engine analogy for general quantum computation, a soap-bubble analogy for decoherence, and a noisy-crowd analogy for amplitude amplification in Grover's algorithm, using Gentner's structure-mapping theory as the analytical framework. Each analogy is tested against the underlying physics on four criteria: how many core quantum concepts it maps, where the mapping breaks down, whether it could mislead a learner, and how it performed in front of a live, non-expert audience. It is found that analogies which map multiple quantum concepts simultaneously, rather than just one, draw more engaged questions from audiences, but that this same richness increases the risk of overextension if the limits of the analogy are not stated explicitly alongside it. All three analogies were delivered live to a mixed audience of physics evaluators and students at a state-government-organised science competition, where each achieved its intended communicative purpose; this single presentation is reported plainly as the basis for that finding, alongside next steps that would extend it further. The paper concludes with a practical checklist for constructing and presenting quantum analogies responsibly.
Quantum education has been increasingly emphasized at both the post-secondary and secondary education stages, in line with the advent of the quantum computing paradigm. Traditional quantum computing education, however, necessitates an extensive background in physics, mathematics, and information science, which can be challenging for beginners. This study presents the experience of implementing a college curriculum at National Chi Nan University in Taiwan, designed to enable learners at all levels to grasp the concept of a quantum algorithm using accessible math yet rigorous enough for verification. The study succinctly conveys the concept of the quantum Grover algorithm, provides necessary background knowledge, and elucidates the ideas using three distinct visualization methods. Furthermore, this study offers a novel presentation for aligning the results of geometrical representation with the corresponding quantum circuit layout. The hands-on project demonstration motivates learners to explore solutions using their visualization tool, enhancing their engagement and sense of achievement. Developing these tools deepens learners' understanding and promotes active peer education, thereby improving their participation and retention of quantum knowledge. The visualization tools developed through this process serve as a valuable contribution to quantum education, offering an effective quantum tool and a user-friendly interface for learning, teaching, researching, and providing fresh insights and perspectives. By making quantum computing concepts more understandable through accessible math and visualization, we aim to lower the entry-level barrier to learning quantum computing, encouraging more talents to engage in quantum computing for their research studies.
Background and purpose of the study The rise of quantum technologies necessitates integrating foundational quantum mechanics (QM) concepts into secondary education. However, inherently abstract phenomena like quantum entanglement pose significant pedagogical challenges, as traditional formalism-based approaches are often inaccessible. This study introduces and delineates an innovative, scaffolded pedagogical model designed to foster robust conceptual understanding of entanglement in secondary STEM education, moving beyond reliance on mathematical formalism. The proposed pedagogical model The presented contribution is a detailed pedagogical sequence following a deliberate learning trajectory. It begins with a tangible analogy (magnetic interactions) as a conceptual anchor for correlation, then transitions to computational tools (Bloch sphere visualization, Qiskit simulations). These tools facilitate exploration of quantum concepts weakly addressed by the analogy (e.g., superposition) and allow more authentic engagement with quantum behavior. Underpinned by constructivism, cognitive load theory, and QM education research, the model strategically repurposes the analogy’s limitations as pedagogical opportunities to introduce and contrast key quantum features like non-locality and superposition with classical intuition. The sequence integrates exploration, guided use of representations, and critical comparative discussion. Conclusions and potential implications This paper provides a theoretically grounded pedagogical model for introducing quantum entanglement in secondary STEM education, combining tangible and computational tools in a scaffolded manner. The approach offers potential advantages over traditional methods by providing concrete starting points and explicitly using classical limitations to illuminate quantum principles. While promising, rigorous empirical validation is the essential next step. Future research should investigate the model’s effectiveness in authentic classroom settings, informing curriculum design and teacher development for incorporating QM into secondary STEM.