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Building on the foundations of quantum computing, this session gives a practical, hands-on exploration of key quantum algorithms including Shor’s algorithm for factorization, Grover’s search algorithm, and applications for areas such as optimization and in quantum machine learning. Through guided examples and exercises, attendees will learn how these algorithms work, their potential advantages over classical counterparts and how to implement them using leading quantum programming frameworks. On today’s menu, get ready to: Understand the principles and mechanics behind key quantum algorithms Recognize practical scenarios where quantum algorithms may outperform classical approaches Describe how quantum algorithms are applied in various contexts Implement basic quantum algorithms using standard programming frameworks Evaluate the current limitations and future potential of quantum algorithms in real-world applications We only have 5 years to achieve the United Nations’ sustainable development goals, and AI is impacting people and the planet. We are the AI generation, and it is our responsibility to ensure that no one is left behind. AI for Good is identifying trustworthy AI applications, building skills and standards, and advancing AI governance for sustainable development. AI for Good is organized by ITU in partnership with over 40 UN Sister Agencies and co-convened with the Government of Switzerland. Join the Neural Network! 👉https://aiforgood.itu.int/neural-netw... The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos! / aiforgood 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good... 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ X: / aiforgood LinkedIn Page: / 26511907 LinkedIn Group: / 8567748 Instagram: / aiforgood Facebook: / aiforgood Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.