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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...
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09-25
2025
Advancing Deep Learning for Multi-Agent Al:Incentives and Scalability
演讲人：Tonghan Wang [Harvard University] 时间： 15:00-16:00, Sep 25, 2025 (Thu)地点：RM 1-222, FIT Building内容：The ecosystem of Al agents and humans will shape the future. For the success of thisecosystem, we need to build agents and agent systems that can scale to real-worlccomplexity while providing alignment guarantees. This goal necessitates new progressin multi-agent Al, This talk prese...