Intuit: Explain Quantum Computing Concepts via AR-based Analogy
Manusha Karunathilaka, Shaolun Ruan, Lin-Ping Yuan, Jiannan Li, Zhiding Liang, Kavinda Athapaththu, Qiang Guan, Yong Wang
TL;DR
This work addresses the challenge of teaching quantum computing concepts to novices by introducing an analogy-based characterization framework that maps QC concepts to daily objects. The framework is instantiated in the Intuit AR prototype, which overlays tangible-virtual interactions to visualize concepts like superposition, measurement, decoherence, tunneling, teleportation, entanglement, and gates. Evaluations with 16 participants and 6 domain experts demonstrate Intuit’s potential to improve intuitive understanding and engagement, while highlighting areas for enhancement such as gate differentiation and gesture reliability. Overall, this study offers a viable, immersive path for accessible QC education and provides a structured approach for extending AR-based learning to more advanced quantum topics.
Abstract
Quantum computing has shown great potential to revolutionize traditional computing and can provide an exponential speedup for a wide range of possible applications, attracting various stakeholders. However, understanding fundamental quantum computing concepts remains a significant challenge for novices because of their abstract and counterintuitive nature. Thus, we propose an analogy-based characterization framework to construct the mental mapping between quantum computing concepts and daily objects, informed by in-depth expert interviews and a literature review, covering key quantum concepts and characteristics like number of qubits, output state duality, quantum concept type, and probability quantification. Then, we developed an AR-based prototype system, Intuit, using situated analytics to explain quantum concepts through daily objects and phenomena (e.g., rotating coins, paper cutters). We thoroughly evaluated our approach through in-depth user and expert interviews. The Results demonstrate the effectiveness and usability of Intuit in helping learners understand abstract concepts in an intuitive and engaging manner.
