Quantum programming: the challenges and the future of the computer science curriculum in secondary education

Clarice D. Aiello, D D Awschalom, Hannes Bernien +31 more

Abstract Interest in building dedicated quantum information science and engineering (QISE) education programs has greatly expanded in recent years. These programs are inherently convergent, complex, often resource intensive and likely require collaboration with a broad variety of stakeholders. In order to address this combination of challenges, we have captured ideas from many members in the community. This manuscript not only addresses policy makers and funding agencies (both public and private and from the regional to the international level) but also contains needs identified by industry leaders and discusses the difficulties inherent in creating an inclusive QISE curriculum. We report on the status of eighteen post-secondary education programs in QISE and provide guidance for building new programs. Lastly, we encourage the development of a comprehensive strategic plan for quantum education and workforce development as a means to make the most of the ongoing substantial investments being made in QISE.

Yoshihiro Murata

Derrick L Tucker

As practical quantum computers near fruition and the market for quantum technologies rapidly expands, there is a growing need for a quantum workforce prepared to carry quantum computation into the mainstream. Once primarily the domain of researchers and theoreticians, there has been a steady expansion of quantum information science into undergraduate coursework to build the requisite expertise in optics, computer science, engineering, and materials science that will be needed in the quantum industries of the near future. In order to better prepare students for post-secondary quantum coursework, it is important to scale up quantum education at the secondary level. This article details the work done at The University of Texas at Austin to pilot the first full-year high school course in optics-based quantum computing and to transition the course to a dual-enrollment model under the OnRamps distance education umbrella at The University of Texas at Austin in which college-aligned content is delivered to high schools across the state. Within this program, we are laying the groundwork for reaching a greater number of underrepresented students and improving participation in STEM fields through a unique combination of innovative pedagogy, technological-enhancement, and continuing professional development to deepen the expertise of high school teachers that deliver quantum computing coursework.

SpillmanRichard

Richard Jay Spillman

Yao–Hsin Chou, Yu-Chi Jiang, Shu–Yu Kuo +1 more

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.