Deconfined Quantum Critical Point in Quantum Hall Bilayers

Kavli Affiliate: Zheng Zhu | First 5 Authors: Guangyu Yu, Guangyu Yu, , , | Summary: Deconfined quantum critical points (DQCPs) represent an unconventional class of quantum criticality beyond the Landau-Ginzburg-Wilson-Fisher paradigm. Nevertheless, both their theoretical identification and experimental realization remain challenging. Here we report compelling evidence of a DQCP in quantum Hall bilayers with […]


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Topological Chiral Superconductivity in the Triangular-Lattice Hofstadter-Hubbard Model

Kavli Affiliate: Leon Balents | First 5 Authors: Feng Chen, Feng Chen, , , | Summary: Moir’e materials provide exciting platforms for studying the interplay of strong electronic correlation and large magnetic flux effects. We study the lightly doped Hofstadter-Hubbard model on a triangular lattice through large-scale density matrix renormalization group and determinantal quantum Monte […]


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Boundary Renormalization Group Flow of Entanglement Entropy at a (2+1)-Dimensional Quantum Critical Point

Kavli Affiliate: Long Zhang | First 5 Authors: Zhiyan Wang, Zhiyan Wang, , , | Summary: We investigate the second order R’enyi entanglement entropy at the quantum critical point of spin-1/2 antiferromagnetic Heisenberg model on a columnar dimerized square lattice. The universal constant $gamma$ in the area-law scaling $S_2(ell) = alphaell – gamma$ is found […]


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Infinity thick quasiconvexity and applications

Kavli Affiliate: Zheng Zhu | First 5 Authors: Miguel García-Bravo, Miguel García-Bravo, , , | Summary: We investigate geometric properties of a metric measure space where every function in the Newton–Sobolev space $N^1,infty(Z)$ has a Lipschitz representative. We prove that when the metric space is locally complete and the reference measure is infinitesimally doubling, the […]


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Computational approaches for virus host prediction: A review of methods and applications

Kavli Affiliate: Cheng Peng | First 5 Authors: Jiayu Shang, Jiayu Shang, , , | Summary: Accurate prediction of virus-host interactions is critical for understanding viral ecology and developing applications like phage therapy. However, the growing number of computational tools has created a complex landscape, making direct performance comparison challenging due to inconsistent benchmarks and […]


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When Energy and Information Revolutions Meet 2D Janus

Kavli Affiliate: Long Zhang | First 5 Authors: Long Zhang, Long Zhang, , , | Summary: The depletion of energy sources, worsening environmental issues, and the quantum limitations of integrated circuits for information storage in the post-Moore era, are pressing global concerns. Fortunately, two-dimensional (2D) Janus materials, possessing broken spatial symmetry, with emerging pressure-dependent and […]


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LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation

Kavli Affiliate: Long Zhang | First 5 Authors: Yang Sun, Yang Sun, , , | Summary: Retrieval-augmented generation (RAG) incorporates external knowledge into large language models (LLMs), improving their adaptability to downstream tasks and enabling information updates. Surprisingly, recent empirical evidence demonstrates that injecting noise into retrieved relevant documents paradoxically facilitates exploitation of external knowledge […]


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Quantum Chaos, Thermalization, and Non-locality

Kavli Affiliate: Masahiro Nozaki | First 5 Authors: Masataka Matsumoto, Masataka Matsumoto, , , | Summary: In this paper, we numerically investigate whether quantum thermalization occurs during the time evolution induced by a non-local Hamiltonian whose spectra exhibit integrability. This non-local and integrable Hamiltonian is constructed by combining two types of integrable Hamiltonians. From the […]


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Copas-Jackson-type bounds for publication bias over a general class of selection models

Kavli Affiliate: Yi Zhou | First 5 Authors: Taojun Hu, Taojun Hu, , , | Summary: Publication bias (PB) is one of the most vital threats to the accuracy of meta-analysis. Adjustment or sensitivity analysis based on selection models, which describe the probability of a study being published, provide a more objective evaluation of PB […]


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Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality

Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, Shaocong Ma, , , | Summary: The goal of robust constrained reinforcement learning (RL) is to optimize an agent’s performance under the worst-case model uncertainty while satisfying safety or resource constraints. In this paper, we demonstrate that strong duality does not generally hold in robust […]


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