Quantum computers are a new generation of computers, whose principles for designing algorithms have already been defined, despite their hardware implementation still being under development. Attracting more scientists to the field is crucial to developing new algorithms in order to make the most of quantum computers once they are available. Serious games can contribute a lot to this effort. This article focuses on the pilot evaluation of the Quantum Escape serious game, which is based on a 3D format for motivating students and a conceptual simplification strategy for making abstract concepts accessible. Specifically, the game design is grounded in the established Four-Dimensional framework, and it aims to transform abstract concepts like superposition and entanglement, as well as common quantum gates, into intuitive puzzles presented through probabilities. The design of Quantum Escape was evaluated by 27 Computer Science students and graduates, in terms of perceived player experience and perceived short-term learning using a questionnaire based on the established MEEGA+ evaluation framework. The design choices of Quantum Escape seem to be validated, since most novice participants found the game understandable and requiring no prior knowledge, while participants with relevant background in quantum computing also largely endorsed the content’s accuracy. Limitations in the extent of quantum computing concepts and the number of participants dictate further development and evaluation of the game.
Quantum computers are a new generation of computers, whose principles for designing algorithms have already been defined, despite their hardware implementation still being under development. Attracting more scientists to the field is crucial to developing new algorithms in order to make the most of quantum computers once they are available. Serious games can contribute a lot to this effort. This article focuses on the pilot evaluation of the Quantum Escape serious game, which is based on a 3D format for motivating students and a conceptual simplification strategy for making abstract concepts accessible. Specifically, the game design is grounded in the established Four-Dimensional framework, and it aims to transform abstract concepts like superposition and entanglement, as well as common quantum gates, into intuitive puzzles presented through probabilities. The design of Quantum Escape was evaluated by 27 Computer Science students and graduates, in terms of perceived player experience and perceived short-term learning using a questionnaire based on the established MEEGA+ evaluation framework. The design choices of Quantum Escape seem to be validated, since most novice participants found the game understandable and requiring no prior knowledge, while participants with relevant background in quantum computing also largely endorsed the content’s accuracy. Limitations in the extent of quantum computing concepts and the number of participants dictate further development and evaluation of the game.
Quantum Computing (QC) is often challenging for beginners due to its abstract concepts and mathematical foundations. This paper explores the use of gamification to support the learning of introductory QC concepts. To investigate this, QubitQuest was developed as a set of three educational mini-games designed to teach key QC topics: the Bloch sphere, entanglement, and quantum circuits. The mini-games aim to balance engagement, motivation, and learning while introducing concepts in small and focused units of progressive difficulty. A two-phase user study was conducted to evaluate the mini-games. In the first phase, a preliminary survey was conducted to gather information on learners' preferences and inform the design of the mini-games. In the second phase, participants played the mini-games and completed pre- and post-game questionnaires to assess their learning. The results show that participants improved their understanding of introductory QC concepts after playing the mini-games, with post-game scores higher than pre-game scores. Those who completed more levels achieved higher post-game scores, indicating that motivation and engagement influenced the learning outcomes. These findings suggest that mini-games may improve students' learning experience and outcomes when exposed to introductory QC concepts.
Quantum mechanics is a revolutionary scientific field, which lies at the crossroad section of Physics, Mathematics, Computer and Computational Science. In essence, it is considered a cross-disciplinary STEM field, advancing the philosophy of Quantum Literacy (QL), which addresses the transdisciplinary nature of real world complex problems. QL addresses the challenges of learning and skills acquisition, through specific computing activities, 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. It is therefore important that quantum computing and quantum technologies knowledge is accessible to students and teachers who work with real problems, in a more inclusive and interactive way. In this paper, we argue for the necessity of exposing students to new and powerful quantum tools, as provided by cutting edge quantum computing technologies. We do that by proposing contemporary and STEM related activities and gamification scenarios, in which they acquire stronger mathematical and computational - problem decomposition and modelling skills, working as real researchers. By engaging students in games and activities related to quantum computing and quantum information processing, they acquire all necessary knowledge related to: superposition, teleportation, entanglement, quantum gates and quantum information. The serious games proposed in this paper relates to quantum strategic games, necessary for STEM activities to train students within the computational thinking 2.0 framework. All scenarios were implemented using the didactic model of inquiry-based learning using Python libraries.
We present a practical course targeting graduate students with prior knowledge of the basics of quantum computing. The practical aims to deepen students' understanding of fundamental concepts in quantum computing by implementing quantum circuit simulators. Through hands-on experience, students learn about different methods to simulate quantum computing, including state vectors, density matrices, the stabilizer formalism, and matrix product states. By implementing the simulation methods themselves, students develop a more in-depth understanding of fundamental concepts in quantum computing, including superposition, entanglement, and the effects of noise on quantum systems. This hands-on experience prepares students to do research in the field of quantum computing and equips them with the knowledge and skills necessary to tackle complex research projects in the field. In this work, we describe our teaching approach and the structure of our practical, and we discuss evaluations and lessons learned.
With the development of quantum computing and quantum information science, quantum games are emerging as a novel educational tool that helps students intuitively understand complex quantum concepts. This paper explores the application of quantum games in quantum education, with a focus on analyzing the rules, teaching design, and their impact on students' cognitive development in “Quantum Chess”. Quantum Chess integrates core concepts such as quantum superposition, entanglement, and measurement, allowing students to experience the unique phenomena of quantum physics during the game. In the future, further optimization of the integration of quantum games and education will be necessary to meet diverse learning needs and promote the broader application of quantum computing technology in the field of education.
With a vast domain of applications and now having quantum computing hardware available for commercial use, an education challenge arises in getting people of various background to become quantum literate. Quantum Odyssey is a new piece of computer software that promises to be a medium where people can learn quantum computing without any previous requirements. It aims to achieve this through visual cues and puzzle play, without requiring the user to possess a background in computer coding or even linear algebra, which are traditionally a must to work on quantum algorithms. In this paper we report our findings on an UKRI Citizen Science grant that involves using Quantum Odyssey to teach how to construct quantum computing algorithms. Sessions involved 30 minutes of play, with 10 groups of 5 students, ranging between 11 to 18 years old, in two schools in the UK. Results show the Quantum Odyssey visual methods are efficient in portraying counterintuitive quantum computational logic in a visual and interactive form. This enabled untrained participants to quickly grasp difficult concepts in an intuitive way and solve problems that are traditionally given today in Masters level courses in a mathematical form. The results also show an increased interest in quantum physics after play, a higher openness and curiosity to learn the mathematics behind computing on quantum systems. Participants developed a visual, rather than mathematical intuition, that enabled them to understand and correctly answer entry level technical quantum information science.
The design and development of quantum algorithms present a challenge, especially for inexperienced computer science students. Despite the numerous common concepts with classical computer science, quantum computation is still considered a branch of theoretical physics not commonly used by computer scientists. Experimental research into the development of a quantum computer makes the use of quantum mechanics in organizing computation more attractive, however the physical realization of a working quantum computer may still be decades away. This study introduces quantum computing to computer science students using a quantum algorithm animator called QuAL. QuAL's design uses features common to classical algorithm animators guided by an exploratory study but refined to animate the esoteric and interesting aspects of quantum algorithms. In addition, this study investigates the potential for the animation of a quantum sorting algorithm to help novice computer science students understand the formidable concepts of quantum computing. The animations focus on the concepts required to understand enough about quantum algorithms to entice student interest and promote the integration of quantum computational concepts into computer science applications and curricula. The experimental case study showed no significant improvement in student learning when using QuAL's initial prototype. Possible reasons include the animator's presentation of concepts and the study's pedagogical framework such as choice of algorithm (Wallace and Narayanan's sorting algorithm), design of pre- and post tests, and the study's small size (20 students) and brief duration (2 hours). Nonetheless, the animation system was well received by students. Future work includes enhancing this animation tool for illustrating elusive concepts in quantum computing.