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Tsinghua Yao Class Students visit our institute

2024-07-28

On July 26th, Yao Class students of the Institute for Interdisciplinary Information Sciences at Tsinghua University came to Shanghai Qi Zhi Institute  to start their summer AI exploration trip.

Representatives of outstanding Principal Investigators (PI) in the fields of artificial intelligence, quantum intelligence, and information security at the research institute engaged in discussions with the students, providing insights into the most cutting-edge research directions and advancements. Subsequently, the AI-focused research staff from various groups at the institute led the students on a tour of the laboratories, allowing them to experience the rich research atmosphere firsthand.


Introduction 


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Dr. Jianjuan Jiang from the Shanghai Qi Zhi Institute warmly welcomed the students from the Yao Class and introduced to them the institute's cutting-edge layout and research topics in core areas such as artificial intelligence, information security, and quantum computing. This allowed the students to understand the latest research directions in the relevant fields, as well as the institute's most recent scientific achievements.

Special Invited Lecture

"Quantum Algorithms and Practices Based on Neutral Atoms"

Xiaopeng Li, PI at SQZ and Professor at Fudan University

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Professor Li introduced to the students the background of quantum simulation and quantum computing with neutral atoms, discussed the importance of quantum simulation in revealing the complex microscopic physical mechanisms of nature, and provided a detailed introduction to technologies such as Rydberg atoms, optical cavities, and optical tweezer atom arrays. He emphasized the potential of quantum optimization and quantum algorithms in solving complex computational problems. He also shared the latest research progress based on neutral atoms with the students, stimulating their interest in using atoms to achieve quantum computing.


Discussion

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Xiaopeng Li, Hang Zhao, Tao Du, Yifan Song  and the students engaged in a discussion around the challenging issues in fields such as autonomous driving, secure multi-party computation, neutral atom quantum computing, and physical simulation.

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Hang Zhao, PI at Shanghai Qi Zhi Institute and Assistant Professor at Tsinghua University, introduced to the students the work related to autonomous driving, multimodal learning, and robotics, and briefly elaborated on the role of AI deep learning methods in solving traditional autonomous driving problems.

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Tao Du, PI at Shanghai Qi Zhi Institute and Assistant Professor at Tsinghua University, educated the students on how computer graphics can reconstruct the motion of the real world in a virtual environment, introduced the cutting-edge issues in the direction of physical simulation, downstream applications, and how to help other non-computer disciplines by combining with AI technology.

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Yifan Song, PI at Shanghai Qi Zhi Institute and Assistant Professor at Tsinghua University, shared the application status of secure multi-party computation in real life, made a simple comparison with other tools for protecting data privacy, and finally looked forward to the potential application scenarios of secure multi-party computation in protecting personal data security in the future.

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The students asked questions about the fields they were interested in, showing a strong interest in scientific research. PI provided detailed answers to these questions.


Laboratory TouLaboratory Tour

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