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11-06
2025
LLM theory for training wireless networks
演讲人：Lingjie Duan [SUTD]时间：14:00-15:00, Nov 6, 2025 (Thu)地点：FIT1-312内容：Existing AI methods (model-based optimization, deep reinforcement Learning) struggle with generalization and rapid adaptation in dynamic wireless networks. This work pioneers "LLM for Wireless," harnessing the general intelligence of Large Language Models (LLMs) to proactively optimize network infrastructure, mov...
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10-28
2025
Majorana zero modes and topological quantum computing based on Meissner effect and Abrikosov vortex
演讲人：刘鑫 [华中科技大学]时间：16:00-17:00, Oct 28, 2025 (Tue)地点：RM S327, MMW Building内容：Majorana zero modes (MZMs) exhibit non-Abelian braiding statistics, rendering them a cornerstone for topological quantum computing. A robust MZM platform demands a wide topological superconducting parameter space that facilitates experimental detection and control of MZMs and provides a promising de...
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10-24
2025
泛函尺度律：大模型尺度现象的动力学解释
演讲人： 吴磊 【北京大学】时间：14:00-15:00, Oct 24, 2025 (Tue)地点：吕大龙楼701会议室内容：大模型尺度律揭示：性能随训练数据规模和计算量的增长呈现出可预测的幂律提升。这一规律深刻推动了现代人工智能的发展，但长期停留在经验观察层面，缺乏理论理解。为探究其成因，我们引入幂律核回归（power-law kernel regression）这一简化模型，作为理论原型来抽象尺度现象的关键机制。基于该模型的动力学推导，我们提出泛函尺...
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10-21
2025
Generalized Planar and Toric Codes as High-Efficiency Quantum Memories
演讲人：陈昱安 [北京大学]时间： 16:00-17:00, Oct 21, 2025 (Tue)地点：RM S327, MMW Building内容：The Kitaev toric code remains a benchmark for fault-tolerant quantum computation, yet standard techniques for increasing its logical dimension—lattice surgery, punctures, or concatenation—incur substantial qubit overhead. I will present a unified construction and analysis framework that alleviates ...
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10-17
2025
Monitoring the energy of a cavity by observing the emission of a repeatedly excited qubit
演讲人： Benjamin Huard [Ecole Normale Supérieure de Lyon]时间：10:00-11:30, Oct 17, 2025 (Fri)地点：RM S527, MMW Building内容：Is it possible to count the number of photons in a microwave cavity by exploiting the dispersive interaction between a superconducting qubit and the cavity? In standard protocols, this operation requires to perform a series of gates on the qubit that are conditioned on...
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09-25
2025
AI as a Lens: Expanding Vision for Scientific Discovery
演讲人： 冯昱善 [UT Austin]时间： 16:30-18:00, Sep 25, 2025 (Thu)地点：RM 1-222, FIT Building内容：Much of the current progress of AI is driven by massive datasets, unprecedented compute, and industrial-scale engineering. Yet for many of us in academia, the path forward need not be defined by scale alone. This talk explores a complementary direction: uncovering new insights by reinterpreting th...