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Course 10: Basic Concepts in Quantum Computation

ARTUR K. EKERT, Patrick M. Hayden, Hitoshi Inamori

Published Jan 1, 2001• 5 citations
OpenAlex

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Basic Concepts in Quantum Computation

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Quantum computing is an emerging field that explores quantum phenomena to perform calculations with the potential to surpass classical computing in specific problems. Given its technological and scientific relevance, it is essential to introduce its basic concepts into undergraduate curricula, especially in the areas of Exact Sciences, Engineering, and Interdisciplinary courses. This study aimed to analyze the feasibility of integrating basic quantum computing concepts into classes in these courses. For this purpose, a literature review was conducted, and the curricular structures of selected universities were analyzed, identifying courses such as Linear Algebra, Modern Physics, and Probability as suitable bases for introducing concepts like qbits, superposition and entanglement. Classes that already directly address the topic among the selected courses were also mapped. Furthermore, the study proposed activities, especially linked to linear algebra, which provide a gentle introduction for students to the field of quantum computing. The importance of strategies that encourage the training of future researchers in the area and the development of initiatives to expand access to quantum computing education, strengthening Brazil's position in a strategic technological area, is highlighted.

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Quantum computing is an emerging field that explores quantum phenomena to perform calculations with the potential to surpass classical computing in specific problems. Given its technological and scientific relevance, it is essential to introduce its basic concepts into undergraduate curricula, especially in the areas of Exact Sciences, Engineering, and Interdisciplinary courses. This study aimed to analyze the feasibility of integrating basic quantum computing concepts into classes in these courses. For this purpose, a literature review was conducted, and the curricular structures of selected universities were analyzed, identifying courses such as Linear Algebra, Modern Physics, and Probability as suitable bases for introducing concepts like qbits, superposition and entanglement. Classes that already directly address the topic among the selected courses were also mapped. Furthermore, the study proposed activities, especially linked to linear algebra, which provide a gentle introduction for students to the field of quantum computing. The importance of strategies that encourage the training of future researchers in the area and the development of initiatives to expand access to quantum computing education, strengthening Brazil's position in a strategic technological area, is highlighted.
The purpose of this study is to review the main points of the experimental content of the basics of quantum computer science adapted for lyceum students, based on the prospects of the quantum approach to information processing for ultra-fast calculations in modeling objects of complex dynamical systems. In addition, software tools and Internet services are offered to organize effective training. A survey was conducted among 26 computer science teachers to assess the relevance and feasibility of introducing a “Fundamentals of quantum informatics and programming” course for lyceum students. The proposed 17-hour sample module covers key concepts of quantum computing, quantum circuits, quantum gates, and basic quantum algorithms. Expected learning outcomes and methodological support are discussed. The study concludes that quantum computer science has significant potential and proposes starting to study its basics in the school computer science course in grades 10-11, using universal software and Internet services like IBM Quantum Experience and Jupyter Notebooks with Python.
This report describes my experience teaching a graduate-level quantum computing course at Northeastern University in the academic year 2022–23. The course takes a practical, software-driven approach to the course, teaching basic quantum concepts and algorithms through hands-on programming assignments and a software-focused final project. The course guides learners through all stages of the quantum software development process, from solving quantum computing problems and implementing solutions to debugging quantum programs, optimizing the code, and running the code on quantum hardware. This report offers instructors who want to adopt a similar practical approach to teaching quantum computing a comprehensive guide to getting started.