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34 papers · 1 filter
Critical quantum geometric tensors of parametrically-driven nonlinear resonators
Hao-Long Zhang, Jia-Hao Lv, Ken Chen +4
Parametrically driven nonlinear resonators represent a building block for realizing fault-tolerant quantum computation and are useful for critical quantum sensing. From a fundament…
Bulk-boundary correspondence in topological systems with the momentum dependent energy shift
Huan-Yu Wang, Zhen-Biao Yang, Wu-Ming Liu
Bulk-boundary correspondences (BBCs) remain the central topic in modern condensed matter physics, and are gaining increasing interests with the recent discovery of non-Hermitian sk…
Quantum metric and metrology with parametrically-driven Tavis-Cummings models
Jia-Hao Lü, Pei-Rong Han, Wen Ning +5
We study the quantum metric in a driven Tavis-Cummings model, comprised of multiple qubits interacting with a quantized photonic field. The parametrical driving of the photonic fie…
Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor
Jinqian Chen, Jihua Zhu, Qinghai Zheng
Federated learning encounters a critical challenge of data heterogeneity, adversely affecting the performance and convergence of the federated model. Various approaches have been p…
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction
Luojun Lin, Zhifeng Shen, Jia-Li Yin +3
Predicting individual aesthetic preferences holds significant practical applications and academic implications for human society. However, existing studies mainly focus on learning…
Parameter Exchange for Robust Dynamic Domain Generalization
Luojun Lin, Zhifeng Shen, Zhishu Sun +3
Agnostic domain shift is the main reason of model degradation on the unknown target domains, which brings an urgent need to develop Domain Generalization (DG). Recent advances at D…