Publications (7)
Towards Verifiable and Self-Correcting AI Physicists for Quantum Many-Body Simulations
Ken Deng, Xiangfei Wang, Guijing Duan +7
While large language models (LLMs) promise to revolutionize automated scientific discovery, their application in rigorous real-world physical research is stalled by two critical ba…
Benchmarking the Impact of Active Space Selection on the VQE Pipeline for Quantum Drug Discovery
Zhi Yin, Xiaoran Li, Zhupeng Han +6
Quantum computers promise scalable treatments of electronic structure, yet applying variational quantum eigensolvers (VQE) on realistic drug-like molecules remains constrained by t…
Toward General Quantum Control with Physics-Informed Large Language Models
Yusheng Zhao, Han Wang, Xin Liu +10
Quantum control is essential for quantum information science and technology, yet designing high-fidelity control protocols remains challenging due to complex optimization landscape…
AMNS: Attention-Weighted Selective Mask and Noise Label Suppression for Text-to-Image Person Retrieval
Runqing Zhang, Xue Zhou
Most existing text-to-image person retrieval methods usually assume that the training image-text pairs are perfectly aligned; however, the noisy correspondence(NC) issue (i.e., inc…
GEA: Generation-Enhanced Alignment for Text-to-Image Person Retrieval
Hao Zou, Runqing Zhang, Xue Zhou +1
Text-to-Image Person Retrieval (TIPR) aims to retrieve person images based on natural language descriptions. Although many TIPR methods have achieved promising results, sometimes t…
EAANet: Efficient Attention Augmented Convolutional Networks
Runqing Zhang, Tianshu Zhu
Humans can effectively find salient regions in complex scenes. Self-attention mechanisms were introduced into Computer Vision (CV) to achieve this. Attention Augmented Convolutiona…