Kavli Affiliate: Cheng Peng | First 5 Authors: Yuxiang Guo, Anshul Shah, Jiang Liu, Rama Chellappa, Cheng Peng | Summary: Gait recognition holds the promise to robustly identify subjects based on walking patterns instead of appearance information. In recent years, this field has been dominated by learning methods based on two principal input representations: dense […]
Kavli Affiliate: Long Zhang | First 5 Authors: Yuejiu Zhao, Long Zhang, , , | Summary: Quenched disorders can strongly influence the physical properties of quantum many-body systems. The real-space strong-disorder renormalization group (SDRG) analysis has shown that the spin-1/2 random Heisenberg chain is controlled by the infinite-randomness fixed point (IRFP) and forms a random […]
Kavli Affiliate: Long Zhang | First 5 Authors: Yuejiu Zhao, Long Zhang, , , | Summary: Quenched disorders can strongly influence the physical properties of quantum many-body systems. The real-space strong-disorder renormalization group (SDRG) analysis has shown that the spin-1/2 random Heisenberg chain is controlled by the infinite-randomness fixed point (IRFP) and forms a random […]
Kavli Affiliate: Matthew Fisher | First 5 Authors: Manuel Ladron de Guevara, Matthew Fisher, Aaron Hertzmann, , | Summary: We introduce a novel image-to-painting method that facilitates the creation of large-scale, high-fidelity paintings with human-like quality and stylistic variation. To process large images and gain control over the painting process, we introduce a segmentation-based painting […]
Kavli Affiliate: Gang Su | First 5 Authors: Xing-Zhou Qu, Dai-Wei Qu, Wei Li, Gang Su, | Summary: The intriguing interplay between the two $e_g$ orbitals in the high-$T_c$ nickelate superconductor La$_3$Ni$_2$O$_7$ is studied via the density matrix renormalization group (DMRG) and finite-$T$ thermal tensor-network calculations. We consider a bilayer $t$-$J$ model that incorporates both […]
Kavli Affiliate: Gang Su | First 5 Authors: Xing-Zhou Qu, Dai-Wei Qu, Xin-Wei Yi, Wei Li, Gang Su | Summary: Understanding the pairing mechanism in bilayer nickelate superconductors constitutes a fascinating quest. Using density matrix renormalization group for $T=0$ and thermal tensor networks for $T>0$ properties, along with density functional theory calculations, we investigate the […]
Kavli Affiliate: Gang Su | First 5 Authors: Xing-Zhou Qu, Dai-Wei Qu, Xin-Wei Yi, Wei Li, Gang Su | Summary: Understanding the pairing mechanism in bilayer nickelate superconductors constitutes a fascinating quest. Using density matrix renormalization group for $T=0$ and thermal tensor networks for $T>0$ properties, along with density functional theory calculations, we investigate the […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Arda Demirhan, Jacob Miller, Yixu Qiu, Thomas J. Tucker, Zheng Zhu | Summary: We treat the problem of finding transitive subgroups G of S_n containing normal subgroups N_1 and N_2, with N_1 transitive and N_2 not transitive, such that G/N_1 is isomorphic G/N_2. We show that such […]
Kavli Affiliate: Gang Su | First 5 Authors: Xiang Li, Jia-Wen Li, Jing-Yang You, Gang Su, Bo Gu | Summary: Doping nonmagnetic semiconductors with magnetic impurities is a feasible way to obtain diluted magnetic semiconductors (DMSs). It is generally accepted that for the most extensively studied DMS, (Ga, Mn)As, its highest Curie temperature T$_{text{C}}$ was […]
Kavli Affiliate: Gang Su | First 5 Authors: Shi-Ju Ran, Gang Su, , , | Summary: It is a critical challenge to simultaneously gain high interpretability and efficiency with the current schemes of deep machine learning (ML). Tensor network (TN), which is a well-established mathematical tool originating from quantum mechanics, has shown its unique advantages […]