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09-12
2025
General Approach to Error Detection of Bosonic Codes via Phase Estimation
演讲人： 金缘德 [中国科学院半导体研究所/中国科学院大学]时间： 10:00-11:30, Sep 12, 2025 (Fri)地点：RM S527, MMW Building内容：Quantum phase estimation (QPE) is an important algorithm in quantum information processing, designed to estimate the eigenvalues of a unitary operator, and it plays a significant role in quantum metrology. In our previous work [1], we have established a general framework...
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09-11
2025
Quantum information in precision measurements using spin squeezing and light squeezing
演讲人： 肖艳红 [复旦大学]时间： 16:30-18:00, Sep 11, 2025 (Thu)地点： RM 1-222, FIT Building内容：Physical systems based on coherent atom-light interactions are important for precision measurements and sensing. The measurement sensitivities of classical systems are fundamentally limited by spin projection noise and photon shot noise, hence employing quantum entanglement and squeezed states to...
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09-08
2025
Unbounded Sharing of Nonlocality Using Qubit Projective Measurements
演讲人： Souradeep Sasmal [University of Electronic Science and Technology of China]时间： 15:00-17:00, Sep 8, 2025 (Mon)地点： RM S327, MMW Building (#腾讯会议：435-802-209)内容：The prevailing consensus is that the sequential sharing of nonlocality in a Bell experiment requires generalised unsharp measurements, since a sharp measurement inevitably destroys the entanglement of the shared state...
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08-25
2025
On some methodological aspects of generative flow networks
演讲人： Sergey Samsonov [HSE University] 时间： 11:00-12:00, Aug 25, 2025 (Mon)地点：11:00-12:00, Aug 25, 2025 (Mon)内容：GFlowNets are a family of generative models that learn to sample objects from a given probability distribution, potentially known only up to a normalizing constant. The key concept behind GFlowNets is the use of two stochastic policies: a forward policy, which incrementally...
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08-13
2025
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
演讲人： 程韵 [普林斯顿大学] 时间： 11:00-12:00, Aug 13, 2025 (Wed)地点：RM 1-222, FIT Building (//meeting.tencent.com/dm/hpLuprdKjM45 #腾讯会议：567-960-508)内容：While Vision Language Models (VLMs) are impressive in tasks such as visual question answering (VQA) and image captioning, their ability to apply multi-step reasoning to images has lagged, giving rise to perceptions of modality ...
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08-11
2025
On the Power of Context-Enhanced Learning in LLMs
演讲人： 朱星宇 [普林斯顿大学]时间： 11:00-12:00, Aug 11, 2025 (Mon)地点：RM 1-222, FIT Building (//meeting.tencent.com/dm/O15OBOE6VLfC #腾讯会议：490-402-711)内容：We formalize a new concept for LLMs, context-enhanced learning. It involves standard gradient-based learning on text except that the context is enhanced with additional data on which no auto-regressive gradients are computed. ...