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ACM Conference on International Computing Education Research (ICER)

Exploring Quantum Reversibility with Young Learners

Diana M. Franklin, Jen Palmer, Woorin Jang, Elizabeth Lehman, Jasmine Marckwordt, Randall H. Landsberg, Alexandria Muller, Danielle B. Harlow

Published Aug 7, 2020• 20 citations
Publisher

Abstract

Quantum computing is poised to revolutionize some critical intractable computing problems; but to fully take advantage of this computation, computer scientists will need to learn to program in a new way, with new constraints. The challenge in developing a quantum computing curriculum for younger learners is that two dominant approaches, teaching via the underlying quantum physical phenomenon or the mathematical operations that emerge from those phenomenon, require extensive technical knowledge. Our goal is to extract some of the essential insights in the principles of quantum computing and present them in contexts that a broad audience can understand.

DOI
10.1145/3372782.3406255

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Quantum computing is poised to revolutionize some critical intractable computing problems; but to fully take advantage of this computation, computer scientists will need to learn to program in a new way, with new constraints. The challenge in developing a quantum computing curriculum for younger learners is that two dominant approaches, teaching via the underlying quantum physical phenomenon or the mathematical operations that emerge from those phenomenon, require extensive technical knowledge. Our goal is to extract some of the essential insights in the principles of quantum computing and present them in contexts that a broad audience can understand.
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Quantum Computing is an exciting field that draws from information theory, computer science, mathematics, and quantum physics to process information in fundamentally new ways. There is an ongoing race to develop practical/reliable quantum computers and increase the quantum workforce. This needs to be accompanied by the development of quantum computing programs, courses and curricula coupled with the development and adoption of evidence-based materials and pedagogies to support the education of the next generation of quantum information scientists and workforce. At our university, we introduced an introductory course in Quantum Computing to undergraduate students and conducted a case study to investigate the strengths and difficulties of these students in quantum computing after taking the introductory course. Our goal is to contribute to the improvement of quantum computing education while understanding the topics that the students find easy to comprehend and topics that are difficult to comprehend. We conducted a series of interviews to identify these strengths and difficulties. This investigation is essential to help train the next generation of quantum scientists and researchers because it gives information and direction to quantum computing education, and it also helps us to develop research-based teaching and learning materials. We report on the results of these interviews and our initial work on the development of evidence-based materials for teaching an introductory course in Quantum Computing.
Quantum computing is an emerging paradigm that opens a new era for exponential computational speedup. Still, quantum computers have yet to be ready for commercial use. However, it is essential to train and qualify today the workforce that will develop quantum acceleration solutions to get the quantum advantage in the future. This tutorial gives a broad view of quantum computing, abstracting most of the mathematical formalism and proposing a hands-on with the quantum programming language Ket. The target audience is undergraduate and graduate students starting in quantum computing -- no prerequisites for following this tutorial.
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.
W elcome to Quantum Computing Strategy: Foundations and Applicability , a journey into one of the most enigmatic and transformative technologies of our age. In these pages, we will explore the world of quantum computing, a field that challenges our traditional notions of computation and information processing. This book doesn’t require advanced mathematical or physics knowledge. It is written for a broad audience, including technology enthusiasts, professionals exploring quantum computing applications in their fields, and policymakers seeking to understand the strategic importance of this emerging technology.
Quantum computing is an emerging technology with a burgeoning industry and growing workforce needs. The demand for computer scientists with quantum computing knowledge is increasing, as their skills are needed to make quantum computing a scalable and useful resource. However, few computer scientists are formally educated in quantum computing, with most education occurring in physics curricula. Although some open source learning resources and software tools for quantum computing are available, they employ a quantum mechanical, hardware-driven framing that poses accessibility challenges for computing-focused learners. Educational games have seen some success in quantum computing outreach initiatives, particularly in building intuition for quantum mechanical concepts, but rarely relate to computing practices. This submission outlines a doctoral research programme that seeks to develop computing-centred interactions with quantum computing systems, and to explore how play can be leveraged in these interactions as a means of building quantum intuitions in a computing context.