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Cracks in infrastructure engineering projects have a significant impact on the performance and functionality of roads, bridges, and buildings. Traditional crack detection methods are time-consuming and subjective, thu...
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In modern computer networks, billions of devices are connected to the Internet. Traditional routing algorithms have not been designed for modern networks. In modern computer networks, traditional routing algorithms fa...
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The present investigation proposes a Convolutional Neural Network (CNN)-based method for human-computer interaction (HCI) speaker emotion identification. Optimising the user experience through clearer and sympathetic ...
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In the human sensing system, information is transmitted, received, and processed in the form of action voltages or electrical pulses. The birth of Spiking Neural Networks (SNNs) has brought neural networks closer to t...
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Augmented Reality (AR) and Virtual Reality (VR) systems involve computationally intensive image processing algorithms that can burden end-devices with limited resources, leading to poor performance in providing low la...
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With the development of robotics and artificial intelligence technology, autonomous driving vehicles have become an attractive topic in industry and academia. In order to navigate safely, it is necessary for the surro...
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Quantum computing presents a transformative potential for the world of computing. However, integrating this technology into the curriculum for computerscience students who lack prior exposure to quantum mechanics and...
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ISBN:
(纸本)9798331541378
Quantum computing presents a transformative potential for the world of computing. However, integrating this technology into the curriculum for computerscience students who lack prior exposure to quantum mechanics and advanced mathematics remains a challenging task. This paper proposes a scaffolded learning approach aimed at equipping computerscience students with essential quantum principles. By introducing foundational quantum concepts through relatable analogies and a layered learning approach based on classical computation, this approach seeks to bridge the gap between classical and quantum computing. This differs from previous approaches which build quantum computing fundamentals from the prerequisite of linear algebra and mathematics. The paper offers a considered set of intuitive analogies for foundation quantum concepts including entanglement, superposition, quantum data structures and quantum algorithms. These analogies coupled with a computing-based layered learning approach, lay the groundwork for a comprehensive teaching methodology tailored for undergraduate third level computerscience students.
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